Stability of time-varying systems in the absence of strict Lyapunov functions

Stability of time-varying systems in the absence of strict Lyapunov functions Abstract When a non-linear system has a strict Lyapunov function, its stability can be studied using standard tools from Lyapunov stability theory. What happens when the strict condition fails? This paper provides an answer to that question using a formulation that does not make use of the specific structure of the system model. This formulation is then applied to the study of the asymptotic stability of some classes of linear and non-linear time-varying systems. 1. Introduction This paper deals with the asymptotic stability of the non-linear time-varying system $$\dot {x}=f(t,x)\!\!\!$$. When this system has a continuously differentiable Lyapunov function V that is strict, standard results from Lyapunov stability theory establish the asymptotic stability of the origin (Bacciotti & Rosier, 2005, Theorem 3.2). The strict condition on the Lyapunov function means that there exists a $$\mathscr {K}$$–function $$\beta :\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ (that is β is continuous and strictly increasing with β(0) = 0) that satisfies $$\dot {V}(t,x) \leqslant -\beta (|x|)$$. What happens when the strict condition does not hold? The following sufficient conditions imply asymptotic stability in the absence of the strict condition on V. The origin is asymptotically stable under the condition that there exists T > 0 such that for all t0, and x0: $$V\left (t_{0}+T,x(t_{0}+T)\right )-V(t_{0},x_{0})\leqslant -\beta (|x_{0}|)$$ (Aeyels & Peuteman, 1998). A strict Lyapunov function can be constructed if we know a Lyapunov function that satisfies $$\dot {V}(t,x) \leqslant -W\left ( q(t),x\right )$$ for some periodic function q and a function W positive definite in x (see Mazenc, 2003). The periodicity condition is weakened in Malisoff & Mazenc (2005). The origin is asymptotically stable if $$\dot {V}(t,x) \leqslant -\beta (|x|)+\gamma (t-t_{0})$$ for some $$\mathscr {L}$$–function $$\gamma :\mathbb {R}\rightarrow \mathbb {R}_{+}$$; that is γ is continuous, non-negative, non-increasing and $$\lim _{t\infty }{\gamma \left (t\right )}=0$$ (see Mu & Cheng, 2005). Using the nested-Matrosov’s theorem, it can be shown that the origin is uniformly globally asymptotically stable if $$\dot {V}(t,x) \leqslant -\beta \left ( \left | f(t,x)\right |\right )$$ where all time derivatives of f are bounded (Loría et al., 2005, Corollary 2). What happens when the Lyapunov function is not strict, and the aforementioned sufficient conditions do not hold? The initial motivation of the present paper was to propose an answer to that question as follows: the origin is asymptotically stable if $$\dot {V}(t,x) \leqslant -h(t) |x|^{b}$$ for some non-negative function h such that $$\int _{0}^{\infty } h(t)\ \textrm {d}t =\infty$$. However, in the process of proving this fact, we realized that this result can be obtained from a more general formulation which can be stated as follows: given a non-negative absolutely continuous function z whose explicit expression is not known, provide sufficient conditions on z so that (1) we have an upper bound on z and (2) we have $$\lim _{t \rightarrow \infty } z(t)=0$$. This formulation is given in Section 3 as Propositions 3.1 and 3.2. These two propositions are applied to the asymptotic stability of non-linear time-varying systems in Section 4. The main result of Section 4 is Theorem 4.1 which provides sufficient conditions for the (global) asymptotic stability of equilibria. Another application to Proposition 3.1 is provided in Section 5 where we derive a new result on the asymptotic stability of perturbed linear systems in Theorem 5.1. The main novelty of the result is that the perturbations are allowed to be unbounded with respect to time. Conclusions are presented in Section 6. 2. Terminology and notations A real number x is said to be strictly positive when x > 0, strictly negative when x < 0, non-positive when x ⩽ 0 and non-negative when x ⩾ 0. A function $$h:\mathbb {R} \rightarrow \mathbb {R}$$ is said to be strictly increasing when t1 < t2 ⇒ h(t1) < h(t2), strictly decreasing when t1 < t2 ⇒ h(t1) > h(t2), non-increasing when t1 < t2 ⇒ h(t1) ≥ h(t2) and non-decreasing when t1 < t2 ⇒ h(t1) ⩽ h(t2).1 The set of non-negative integers is denoted $$\mathbb {N}=\{0,1,\ldots \}$$ and the set of non-negative real numbers is denoted $$\mathbb {R}_{+}=[0,\infty )$$. The Lebesgue measure on $$\mathbb {R}$$ is denoted μ. We say that a subset of $$\mathbb {R}$$ is measurable when it is Lebesgue measurable. Let $$I \subset \mathbb {R}_{+}$$ be an interval, and consider a function $$p:I \rightarrow \mathbb {R}^{l}$$ where l > 0 is an integer. We say that p is measurable when p is (Mμ, B)-measurable where B is the class of Borel sets of $$\mathbb {R}^{l}$$ and Mμ is the class of measurable sets of $$\mathbb {R}_{+}$$ (see Yen & Van Der Vaart, 1966). For a measurable function $$p:I \rightarrow \mathbb {R}^{l}$$, ∥p∥I denotes the essential supremum of the function |p| on I where |⋅| is the Euclidean norm on $$\mathbb {R}^{l}$$. When $$I=\mathbb {R}_{+}$$, this essential supremum is denoted ∥p∥. $$C^{0}(\mathbb {R},\mathbb {R}^{n})$$ denotes the Banach space of continuous functions $$u:\mathbb {R} \rightarrow \mathbb {R}^{n}$$ endowed with the uniform convergence norm ∥⋅∥. For each open interval $$I\subset \mathbb {R}$$, the set of all continuously differentiable functions $$u:I\rightarrow \mathbb {R}^{n}$$ is denoted $$C^{1}(I,\mathbb {R}^{n})$$. 3. Stability results The main results of this section are Propositions 3.1 and 3.2 which provide an answer to the following question: consider an absolutely continuous function z ≥ 0; if we do not have the explicit expression of z, what kind of knowledge do we need in order to (1) establish an upper bound on z and (2) show that $$\lim _{t \rightarrow \infty } z(t)=0$$? The sufficient conditions provided in Propositions 3.1 and 3.2 generalize the following lemma from Naser & Ikhouane (2013). Lemma 3.1 (Naser & Ikhouane, 2013, Lemma 17) Consider a function $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ where $$t_{0}\in \mathbb {R}$$ and $$t_{0}<\omega \leqslant \infty$$. Assume that Conditions (i)–(ii) hold. The function z is absolutely continuous on each compact interval of [t0, ω). There exist z1 ⩾ 0 and z2 > 0 such that z1< z2, $$z\left (t_{0}\right )\!\!<z_{2}$$ and $$\dot {z}\left (t\right )\leqslant 0$$ for almost all $$t\in \left (t_{0},\omega \right )$$ that satisfy $$z_{1}<z\left (t\right )<z_{2}$$. Then $$z\left (t\right )\leq \max {\left (z\left (t_{0}\right ),z_{1}\right )},\;\forall t\in [t_{0},\omega )$$. Proposition 3.1 Consider a function $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ where $$t_{0}\in \mathbb {R}$$ and $$t_{0}<\omega \leq \infty$$. Assume that Conditions (i)–(iii) hold. The function z is absolutely continuous on each compact interval of [t0, ω). There exist functions $$\varphi ,\psi :[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ such that (ii)–1 both φ and ψ are absolutely continuous on each compact interval of [t0, ω), (ii)–2 and Inequalities (3.1)–(3.2) hold, \begin{align} \varphi\left(t\right)<\psi\left(t\right), \quad \forall t\in[t_{0},\omega), \end{align} (3.1) \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant \dot{\varphi}\left(t\right),&\textrm{ for almost all }\ t\in\left(t_{0},\omega\right)\\ & \textrm{ that satisfy }\ \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right). \end{aligned} \end{align} (3.2) $$z\left (t_{0}\right )\leqslant \varphi \left (t_{0}\right )$$. Then \begin{align} z\left(t\right)\leqslant\varphi\left(t\right),\quad \forall t\in[t_{0},\omega). \end{align} (3.3) Furthermore, if φ is non-increasing and \begin{align} \dot{z}\left(t\right)\leqslant0,\textrm{for almost all}\ t\in\left(t_{0},\omega\right)\textrm{that satisfy}\ z\left(t\right)<\varphi\left(t\right), \end{align} (3.4) then \begin{align} z\left(t\right)\leqslant\min{\left(z\left(t_{0}\right),\varphi\left(t\right)\right)}, \quad \forall t\in[t_{0},\omega). \end{align} (3.5) Proof. The aim of the following analysis is to prove that Inequality (3.3) holds. To this end, we use an argument by contradiction. Assume that there exists some $$t_{1}\in \left (t_{0},\omega \right )$$ such that $$z\left (t_{1}\right )>\varphi \left (t_{1}\right )$$. Consider the set $$C=\left \{ \tau \in [t_{0},\omega )/\; z\left (t\right )\leqslant \varphi \left (t\right )\textrm {for all}\ t\in \left [t_{0},\tau \right ]\right \}$$. The set C is non-empty because t0 ∈ C. Define $$t_{2}=\sup \, C$$. Observe that $$t_{2}\leqslant t_{1}<\infty$$ because otherwise we have t1 ∈ C which contradicts the fact that z(t1) > φ(t1). By the definition of t2, there exists a real sequence $$\left \{ \tau _{n} \in C \right \}_{n=1}^{\infty }$$ such that $$\lim _{n \rightarrow \infty }\tau _{n} = t_{2}$$. The continuity of functions z and φ implies that $$z\left (t_{2}\right )=\lim _{n\rightarrow \infty }z\left (\tau _{n}\right )\leqslant \lim _{n\rightarrow \infty }\varphi \left (\tau _{n}\right )=\varphi \left (t_{2}\right )$$. This fact implies that t2 ∈ C leading to t2 < t1. Also, there exists a real sequence $$\left \{ \tau ^{\,\prime }_{n}>t_{2}\right \}_{n=1}^{\infty }$$ such that $$z\left (\tau _{n}^{\,\prime }\right )>\varphi \left (\tau _{n}^{\,\prime }\right )\textrm {for all}\ n\in \mathbb {N}$$ and $$\lim _{n \rightarrow \infty }\tau ^{\,\prime }_{n} = t_{2}$$. Since z and φ are continuous we get $$z\left (t_{2}\right )\geq \varphi \left (t_{2}\right )$$ which leads to $$z\left (t_{2}\right )=\varphi \left (t_{2}\right )$$. Let $$D=\left \{ t\in \left [t_{2},t_{1}\right ]/\; z\left (t\right )=\varphi \left (t\right )\right \}$$. The set D is non-empty because t2 ∈ D. Define $$t_{3}=\sup \, D$$, then using a similar argument as above we get t3 ∈ D which implies that $$z(t_{3})=\varphi \left (t_{3}\right )$$ and t3 < t1. □ Claim 1. For all $$t_{3}<t\leqslant t_{1}, z\left (t\right )>\varphi \left (t\right ).$$ Proof. To prove the claim, we use an argument by contradiction. Assume that there exists t4 ∈ (t3, t1] such that $$z\left (t_{4}\right )\leqslant \varphi \left (t_{4}\right )$$. By the definition of t3, we get $$z\left (t_{4}\right )<\varphi \left (t_{4}\right )$$. Define the function $$z_{1}:[t_{0},\omega )\rightarrow \mathbb {R}$$ as $$z_{1}\left (t\right )=z\left (t\right )-\varphi \left (t\right ),\textrm {for all}\ t\in [t_{0},\omega )$$. The function z1 is continuous and satisfies $$z_{1}\left (t_{4}\right )<0$$ and $$z_{1}\left (t_{1}\right )>0$$. Thus, we conclude from the Intermediate Value Theorem that there exists some $$t_{5}\in \left (t_{4},t_{1}\right )$$ such that $$z_{1}\left (t_{5}\right )=0$$ so that $$z\left (t_{5}\right )=\varphi \left (t_{5}\right )$$ which implies that t5 ∈ D. This is not possible since t5 > t3. The proof of Claim 1 has been completed. Let $$E=\left \{ t\in (t_{3},t_{1}]/\; z\left (t\right )=\psi \left (t\right )\right \}$$. Define \begin{align*} t_{6}=\begin{cases} t_{1} & \textrm{ if }\ E=\emptyset\\ \inf{E} & \textrm{ if }\ E\neq\emptyset. \end{cases}\end{align*} □ Claim 2.$$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. Proof. If E = ∅, then t6 = t1 and thus $$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. If E ≠ ∅, then $$t_{6}=\inf {E}$$ and thus the continuity of z and ψ implies that t6 ∈ E, so that $$z\left (t_{6}\right )=\psi \left (t_{6}\right )$$ and hence we get from (3.1) that $$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. Thus, in all cases we have $$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. □ Claim 3.$$z\left (t\right )<\psi \left (t\right ),\;\textrm {for all}\ t_{3}<t<t_{6}$$. Proof. If E = ∅, then t6 = t1. We need to show that $$z\left (t\right )<\psi \left (t\right ),\textrm {for all}\ t_{3}<t<t_{6}$$. To this end, assume that there exists $$t^{\prime }_{6}\in \left (t_{3},t_{6}\right )$$ such that $$z\left (t^{\prime }_{6}\right )\geq \psi \left (t^{\prime }_{6}\right )$$. Since E = ∅, we have $$z\left (t^{\prime }_{6}\right )>\psi \left (t^{\prime }_{6}\right )$$. Thus, we deduce by Inequality (3.1) and the fact $$z(t_{3})=\varphi \left (t_{3}\right )$$ that \begin{align*} z_{1}\left(t^{\prime}_{6}\right)>0=z\left(t_{3}\right)-\varphi\left(t_{3}\right)>z\left(t_{3}\right)-\psi\left(t_{3}\right)=z_{1}\left(t_{3}\right)\!,\end{align*} where $$z_{1}\left (\cdot \right )=z\left (\cdot \right )-\psi \left (\cdot \right )$$. Therefore, by applying the Intermediate Value Theorem on the continuous function $$z_{1}\left (\cdot \right )$$ and on the interval $$\left [t_{3},t^{\prime }_{6}\right ]$$, we deduce that E ≠ ∅ which is a contradiction. This proves that $$z\left (t\right )<\psi \left (t\right ),\textrm {for all} t_{3}<t<t_{6}$$. If E ≠ ∅, it can be shown by the continuity of z and ψ that $$t_{6}=\inf {E}\in E$$ so that $$z\left (t_{6}\right )=\psi \left (t_{6}\right )$$. We need to show that $$z\left (t\right )<\psi \left (t\right ),\textrm {for all}\ t_{3}<t<t_{6}$$. To this end, assume that there exists $$t^{\prime \prime }_{6}\in \left (t_{3},t_{6}\right )$$ such that $$z\left (t^{\prime \prime }_{6}\right )\geqslant \psi \left (t^{\prime \prime }_{6}\right )$$. Since $$t_{6}=\inf {E}$$, we have $$z\left (t^{\prime \prime }_{6}\right )>\psi \left (t^{\prime \prime }_{6}\right )$$. Thus, we deduce by Inequality (3.1) and the fact $$z(t_{3})=\varphi \left (t_{3}\right )$$ that \begin{align*} z_{1}\left(t^{\prime\prime}_{6}\right)>0=z\left(t_{3}\right)-\varphi\left(t_{3}\right)>z\left(t_{3}\right)-\psi\left(t_{3}\right)=z_{1}\left(t_{3}\right)\!,\end{align*} where $$z_{1}\left (\cdot \right )=z\left (\cdot \right )-\psi \left (\cdot \right )$$. Therefore, by applying the Intermediate Value Theorem on the continuous function $$z_{1}\left (\cdot \right )$$ and on the interval $$\left [t_{3},t^{\prime \prime }_{6}\right ]$$, we deduce that there exists $$t^{\prime \prime \prime }_{6}\in \left (t_{3},t^{\prime \prime }_{6}\right )$$ such that $$z_{1}\left (t^{\prime \prime \prime }_{6}\right )=0$$ so that $$z\left (t^{\prime \prime \prime }_{6}\right )=\psi \left (t^{\prime \prime \prime }_{6}\right )$$. This contradicts the facts that $$t_{6}=\inf {E}$$ and $$t_{3}<t^{\prime \prime \prime }_{6}<t^{\prime \prime }_{6}<t_{6}$$ and thus $$z\left (t\right )<\psi \left (t\right ),\textrm {for all}\ t_{3}<t<t_{6}$$. This end the proof of Claim 3. □ Since t3 < t6 ⩽ t1, we get from Claims 1 and 3 that \begin{align} \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right),\quad \forall t_{3}<t<t_{6}. \end{align} (3.6) Thus, we obtain by (3.2) that $$\dot {z}\left (t\right )\leqslant \dot {\varphi }\left (t\right ),\textrm {for almost all}t\in \left (t_{3},t_{6}\right )$$. Hence, the absolute continuity of functions z and φ leads to $$z\left (t_{6}\right )-z\left (t_{3}\right )=\int _{t_{3}}^{t_{6}}\dot {z}\left (\tau \right )\ \textrm {d}\tau \leqslant \int _{t_{3}}^{t_{6}}\dot {\varphi }\left (\tau \right )\ \textrm {d}\tau =\varphi \left (t_{6}\right )-\varphi \left (t_{3}\right )$$ and thus we obtain by the fact $$z\left (t_{3}\right )=\varphi \left (t_{3}\right )$$ that $$z\left (t_{6}\right )\leqslant \varphi \left (t_{6}\right )$$ which contradicts Claim 2. As a summary, we have proved that \begin{align} z\left(t\right)\leqslant\varphi\left(t\right),\quad \forall t\in[t_{0},\omega), \end{align} (3.7) which proves (3.3). We need to prove that Inequality (3.5) is true whenever (3.4) is satisfied and φ is non-increasing. To this end, we prove that $$z\left (t\right )\leqslant z\left (t_{0}\right ),\textrm {for all}\ t\in [t_{0},\omega )$$ for both situations $$z\left (t_{0}\right )=\varphi \left (t_{0}\right )$$ and $$z\left (t_{0}\right )<\varphi \left (t_{0}\right )$$. If $$z\left (t_{0}\right )=\varphi \left (t_{0}\right )$$, then since φ is non-increasing, we obtain from (3.7) that \begin{align*} z\left(t\right)\leqslant\varphi\left(t\right)\leqslant\varphi\left(t_{0}\right)=z\left(t_{0}\right),\ \textrm{for all}\ t\in[t_{0},\omega),\end{align*} which means that (3.5) is satisfied. If $$z\left (t_{0}\right )<\varphi \left (t_{0}\right )$$, suppose that there exists t7 ∈ (t0, ω) such that $$z\left (t_{7}\right )>z\left (t_{0}\right )$$. Then $$\varphi \left (t_{0}\right )>0$$ (because if $$\varphi \left (t_{0}\right )=0$$, then $$z\left (t_{0}\right )<0$$ which is a contradiction). Let $$S=\left \{ t\in (t_{0},t_{7}]/\, z\left (t\right )=\varphi \left (t\right )\right \}$$. We now show that S cannot be empty. To this end, assume that S = ∅. Using (3.7) and the continuity of z and φ, a simple contradiction argument proves that $$z\left (t\right )<\varphi \left (t\right )\textrm {for all}\ t\in [t_{0},t_{7})$$. Hence, we obtain from (3.4) that $$z\left (t_{7}\right )-z\left (t_{0}\right )=\int _{t_{0}}^{t_{7}}\dot {z}\left (\tau \right )\ \textrm {d}\tau \leqslant 0$$ so that $$z\left (t_{7}\right )\leqslant z\left (t_{0}\right )$$. This contradicts the assumption $$z\left (t_{7}\right )>z\left (t_{0}\right )$$. Thus, S ≠ ∅. Let $$t_{8}=\inf {S}$$. Using (3.7) and the continuity of z and φ, a simple contradiction argument proves that t0 < t8 ⩽ t7 and $$z\left (t\right )<\varphi \left (t\right )\textrm {for all}\ t\in [t_{0},t_{8})$$. Hence, we obtain from (3.4) that $$z\left (t_{8}\right )-z\left (t_{0}\right )=\int _{t_{0}}^{t_{8}}\dot {z}\left (\tau \right ) \textrm {d}\tau \leqslant 0$$ so that \begin{align} z\left(t_{8}\right)\leqslant z\left(t_{0}\right). \end{align} (3.8) The continuity of the functions z and φ implies that $$t_{8}=\inf {S}\in S$$ so that $$z\left (t_{8}\right )=\varphi \left (t_{8}\right )$$. Therefore, since φ is non-increasing and t0 < t8 ⩽ t7, we get from (3.7) that \begin{align*} z\left(t_{8}\right)=\varphi\left(t_{8}\right)\geqslant\varphi\left(t_{7}\right)\geqslant z\left(t_{7}\right)>z\left(t_{0}\right)\!,\end{align*} which contradicts (3.8). Thus, Inequality (3.5) is satisfied and the proof has been completed. Proposition 3.2 Consider a function $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ where $$t_{0}\in \mathbb {R}$$ and $$t_{0}<\omega \leqslant \infty$$. Assume that Conditions (i)–(iii) hold. The function z is absolutely continuous on each compact interval of [t0, ω). There exist functions $$\varphi ,\psi :[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ such that (ii) –1 both φ and ψ are absolutely continuous on each compact interval of [t0, ω), (ii) –2 and Inequalities (3.9)–(3.10) hold, \begin{align} \varphi\left(t\right)<\psi\left(t\right),\quad \forall t\in[t_{0},\omega), \end{align} (3.9) \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant \dot{\psi}\left(t\right),&\textrm{ for almost all }t\in\left(t_{0},\omega\right)\\ & \textrm{ that satisfy }\varphi\left(t\right)<z\left(t\right)<\psi\left(t\right). \end{aligned} \end{align} (3.10) $$z\left (t_{0}\right )\in \left (\varphi \left (t_{0}\right ),\psi \left (t_{0}\right )\right )$$. Then \begin{align} z\left(t\right)<\psi\left(t\right),\quad\forall t\in[t_{0},\omega). \end{align} (3.11) Assume furthermore that $$\omega =\infty$$ and that there exist a measurable function $$q:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ and a non-decreasing measurable function $$H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ such that Equations (3.12)–(3.14) hold. \begin{align} H\left(0\right)=0\ \textrm{and}\ H\left(v\right)>0,\forall v>0, \end{align} (3.12) \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant -q\left(t\right)\, H\left(z\left(t\right)\right),&\textrm{ for almost all }t\in\left(t_{0},\infty\right)\\ & \textrm{ that satisfy }\varphi\left(t\right)<z\left(t\right)<\psi\left(t\right), \end{aligned} \end{align} (3.13) \begin{align} \lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}q\left(\tau\right)\ \textrm{d}\tau=\infty. \end{align} (3.14) Then (a) and (b) hold. If $$L=\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$, we have $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. If $$L=\lim _{t\rightarrow \infty }\varphi \left (t\right )$$ does not exist, is infinite, or exists with L > 0, then there exists $$T\in \left (t_{0},\omega \right )$$ such that \begin{align} \begin{aligned} \varphi\left(t\right)< z\left(t\right) & \leqslant z\left(t_{0}\right),\quad\forall t\in[t_{0},T),\\ z\left(T\right) & =\varphi\left(T\right),\\ z\left(t\right) & \leqslant\varphi\left(t\right),\quad\forall t\in\left(T,\infty\right). \end{aligned} \end{align} (3.15) Proof. The aim of the following analysis is to prove Inequality (3.11). To this end, consider the set $$B=\left \{ t\in \left (t_{0},\omega \right )/\, z\left (t\right )=\varphi \left (t\right )\right \}$$. If B = ∅, assume that there exists $$t_{1}\in \left (t_{0},\omega \right )$$ with $$z\left (t_{1}\right )\geqslant \psi \left (t_{1}\right )$$. Let $$J=\left \{ t\in \left (t_{0},\omega \right )/\, z\left (t\right )=\psi \left (t\right )\right \}$$. Using Intermediate Value Theorem, it can be verified that J ≠ ∅. Let $$t_{2}=\inf {J}$$. Then for all t ∈ [t0, t2) we have $$z(t)<\psi \left (t\right )$$. One can use the Intermediate Value Theorem to prove that $$\varphi \left (t\right )<z(t), \textrm {for all}\ t \in [t_{0},t_{2})$$. These facts along with (3.10) imply that for almost all t ∈ (t0, t2) we have $$\dot {z}(t)\leqslant \dot {\psi }\left (t\right )$$. Since z and ψ are absolutely continuous, it follows that $$z(t_{2})-z(t_{0})=\int _{t_{0}}^{t_{2}}\dot {z}(\tau )\ \textrm {d} \tau \leqslant \int _{t_{0}}^{t_{2}}\dot {\psi }(\tau )\, \textrm {d}\tau =\psi \left (t_{2}\right )-\psi (t_{0})$$. This contradicts the facts that $$z\left (t_{2}\right ) =\psi \left (t_{2}\right )$$ and $$\psi \left (t_{0}\right )>z\left (t_{0}\right )$$ and thus \begin{align*} z(t)<\psi(t),\quad\forall t\in[t_{0},\omega)\ \textrm{whenever}\ B=\emptyset.\end{align*} If B ≠ ∅, then $$t_{3}=\inf {B}\in B$$ because of the continuity of z and φ. Thus, seeing t3 as an initial time, and $$\varphi \left (t_{3}\right )$$ as an initial condition, it follows from Proposition 3.1 that for all t ∈ [t3, ω) we have $$z(t)\leqslant \varphi \left (t\right )$$. Using the same analysis used for B = ∅, it can be shown that z(t) < ψ(t) for all t ∈ [t0, t3). We summarize the previous results as \begin{align*} \begin{cases} z(t)<\psi(t) & \forall t\in[t_{0},t_{3})\\ z(t)\leqslant\varphi\left(t\right) & \forall t\in[t_{3},\omega) \end{cases}\quad\textrm{whenever}\ B\neq\emptyset\end{align*} and thus Inequality (3.9) implies that z(t) < ψ(t) for all t ∈ [t0, ω), whenever B≠∅. We conclude that, in both situations B = ∅ and B ≠ ∅, Inequality (3.11) is satisfied. To complete the proof assume that $$\omega =\infty$$ and that there exist a measurable function $$q:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ and a non-decreasing measurable function $$H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ for which (3.12), (3.13) and (3.14) are satisfied. Let $$A=\left \{ t\in [t_{0},\infty )/\; z\left (t\right )=\varphi \left (t\right )\right \}$$. □ Claim 1. If A = ∅, then $$\lim _{t\rightarrow \infty }z\left (t\right )=\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$. Proof. Since A = ∅, Inequality (3.11) and a simple contradiction argument prove that \begin{align} \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right),\ \quad\forall t\in[t_{0},\infty). \end{align} (3.16) Thus, we obtain from (3.13) that $$\dot {z}\left (t\right )\leqslant 0$$ for almost all $$t\in (t_{0},\infty )$$ because the functions q and H are non-negative. Thus, z is non-increasing on $$[t_{0},\infty )$$ so that $$\lim _{t\rightarrow \infty }z\left (t\right )=L_{*}$$ exists with $$z\left (t\right )\geqslant L_{*}\geqslant 0$$ for all $$t\in [t_{0},\infty )$$. □ If L* > 0 then, from (3.16), (3.13) and for all $$t\in [t_{0},\infty ), z\left (t\right )\geqslant L_{*}$$, it follows that \begin{align*} \dot{z}\left(t\right)\leqslant-\varepsilon\, q\left(t\right),\textrm{for almost all}\ t\in\left(t_{0},\infty\right)\!,\end{align*} where $$\varepsilon =H\left (L_{*}\right )$$ is strictly positive because of (3.12). Thus, the Fundamental Theorem of Calculus implies that \begin{align*} z\left(t\right)=z\left(t_{0}\right)+\int\limits_{t_{0}}^{t}\dot{z}\left(\tau\right)\ \textrm{d}\tau\leqslant z\left(t_{0}\right)-\varepsilon\int\limits_{t_{0}}^{t}q\left(t\right),\ \quad\forall t\in[t_{0},\infty),\end{align*} which leads to $$\lim _{t\rightarrow \infty }z\left (t\right )=-\infty$$ because of (3.14). This contradiction proves that $$L_{*}=\lim _{t\rightarrow \infty }z\left (t\right )=0$$ and thus we obtain from (3.16) that $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$. This finishes the proof of Claim 1. Claim 2. If A ≠ ∅, then there exists $$T\in \left (t_{0},\omega \right )$$ such that (3.15) is satisfied. Proof. The continuity of z and φ implies that $$T=\inf {A}\in A$$ so that $$z\left (T\right )=\varphi \left (T\right )$$. It can be easily verified using (3.13) and (3.11) that $$\varphi \left (t\right )<z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ∈ [t0, T). Now, seeing T as an initial time and $$\varphi \left (T\right )$$ as an initial condition, we obtain from Proposition 3.1 that $$z\left (t\right )\leqslant \varphi \left (t\right )$$ for all $$t\in \left (T,\infty \right )$$. Therefore, (3.15) is satisfied. If $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$, we deduce from Claims 1 and 2 that $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Otherwise, we get from Claim 1 that A ≠ ∅ and thus (3.15) is satisfied because of Claim 2. This completes the proof. □ The following corollary provides sufficient conditions to get $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Corollary 3.1 Suppose that Conditions (a)–(e) hold. Conditions (i) and (ii) of Propositions 3.1 and 3.2 are satisfied, $$\omega =\infty$$, $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$, $$z\left (t_{0}\right )<\psi \left (t_{0}\right )$$, there exist a measurable function $$q:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ and a non-decreasing measurable function $$H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ for which Equations (3.12), (3.13) and (3.14) are satisfied. Then $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Proof. The result follows by considering the cases $$z\left (t_{0}\right )\leqslant \varphi \left (t_{0}\right )$$ and $$z\left (t_{0}\right )\in \left (\varphi \left (t_{0}\right ),\psi \left (t_{0}\right )\right )$$ along with Propositions 3.1 and 3.2, respectively. □ Remark In Scarciotti et al. (2016), an attractiveness result is obtained using a different formulation and with different assumptions. It roughly says that when the derivative of some function is less than the sum of a negative function of the state and a ‘small’—in some sense—function of the state, we get some kind of asymptotic convergence of the state to zero. This result is not directly related to Propositions 3.1 and 3.2 because the right-hand side of Inequality (3.13) contains two separate parts: a term that depends on the state and another that depends on time. 4. Asymptotic stability of a class of non-linear time-varying systems The aim of this section is to study the asymptotic stability of system (4.1)–(4.2) \begin{equation} \dot{x}(t) = f\left(t,x(t)\right),\; t \in\mathbb{R}_{+}, \end{equation} (4.1) \begin{equation} {\hskip-69pt}x(t_{0}) = x_{0}, \end{equation} (4.2) where $$(t_{0},x_{0}) \in \mathbb {R}_{+} \times \mathbb {R}^{m}$$, state x(t) take values in $$\mathbb {R}^{m}$$ for some strictly positive integer m, and function $$f:[t_{0},\infty )\times \mathbb {R}^{m}\rightarrow \mathbb {R}^{m}$$ is well-defined. Section 4.1 presents a brief summary of the results provided in Bacciotti & Rosier (2005) regarding the existence of solutions of the differential equation (4.1)–(4.2). In Section 4.2 we present the stability definitions that are used throughout the paper. Section 4.3 gives sufficient conditions for the asymptotic stability of the system (4.1). 4.1. Carathéodory solutions The following set of assumptions for (4.1)–(4.2) is considered in (Bacciotti & Rosier, 2005, Section 1.1). (A1) The function f(t, x) is locally essentially bounded on $$\mathbb {R}_{+} \times \mathbb {R}^{m}$$, (A2) for each $$x \in \mathbb {R}^{m}$$, the function t ↦ f(t, x) is measurable, (A3) for almost all $$t \in \mathbb {R}_{+}$$, the function x ↦ f(t, x) is continuous. A function x is called a local Carathéodory solution of (4.1)–(4.2) on the interval $$I \subset \mathbb {R}_{+}$$ if t0 ∈ I, the function x is absolutely continuous on every compact subinterval of I and satisfies \begin{equation} \dot{x}(t) = f\left(t,x(t)\right), \textrm{ for almost all } t \in I, \end{equation} (4.3) \begin{equation} {\hskip-115pt}x(t_{0}) = x_{0}. \end{equation} (4.4) Carathéodory’s Theorem states that if Assumptions (A1)–(A3) hold then for each initial pair $$(t_{0},x_{0}) \in \mathbb {R}_{+} \times \mathbb {R}^{m}$$, then there exists an interval $$I \subset \mathbb {R}_{+}$$ with t0 ∈ I such that a local Carathéodory solution (4.3)–(4.4) exists on I. If the function f is continuous on $$\mathbb {R}_{+} \times \mathbb {R}^{m}$$ then Assumptions (A1)–(A3) are satisfied. By Peano’s Theorem it follows that a classical solution x of (4.1)–(4.2) exists on some interval $$t_{0} \in I \subset \mathbb {R}_{+}$$. The term ‘classical’ means that x is of class C1 and \begin{equation} \dot{x}(t) = f\left(t,x(t)\right), \quad\forall t \in I, \end{equation} (4.5) \begin{equation} {\hskip-72pt} x(t_{0}) = x_{0}. \end{equation} (4.6) 4.2. Stability definitions In this section and in the remaining sections we assume that Assumptions (A1)–(A3) hold so that at least one local Carathéodory solution (4.3)–(4.4) exists on some interval $$t_{0} \in I \subset \mathbb {R}_{+}$$. Definition 4.1 (Bacciotti & Rosier, 2005, p.79) The point x = 0 of the system (4.1) is said to be an equilibrium point if $$f\left (t,0\right )=0$$ for almost all t ≥ 0, locally attractive if for each $$t_{0}\in \mathbb {R}_{+}$$, there exists c > 0 such that if $$\left |x_{0}\right |<c$$, then each solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ with $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$, globally attractive if for all $$t_{0}\in \mathbb {R}_{+}$$ and all $$x_{0}\in \mathbb {R}^{m}$$, each solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ with $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$, stable if for any $$t_{0}\in \mathbb {R}_{+}$$ and any ε > 0, there is c > 0 such that if $$\left |x_{0}\right |<c$$ then each solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ and \begin{align*} \left|x\left(t\right)\right|<\varepsilon,\quad\forall t\geqslant t_{0},\end{align*} uniformly stable if for any ε > 0, there is c > 0 such that for each $$t_{0}\in \mathbb {R}_{+}$$ and each $$\left |x_{0}\right |<c$$, every solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ and \begin{align*} \left|x\left(t\right)\right|<\varepsilon,\quad\forall t\geqslant t_{0},\end{align*} asymptotically stable if it is stable and locally attractive, globally asymptotically stable if it is stable and globally attractive. 4.3. Sufficient conditions for the asymptotic stability In this section we use Propositions 3.1 and 3.2 to study the asymptotic stability of the system (4.1)–(4.2). The main result is given in Theorem 4.1. For any $$t_{0} \in \mathbb {R}$$ define the set \begin{align*} \Omega_{2}(t_{0})=\left\{ h:\mathbb{R}\rightarrow\mathbb{R}_{+}/\:h\textrm{is Lebesgue measurable with}\int\limits_{t_{0}}^{\infty}h(s)\ \textrm{d}s=\infty\right\}.\end{align*} Theorem 4.1 Consider the system (4.1)–(4.2) for which Assumptions (A1)–(A3) are satisfied. Assume that Conditions (i)–(ii) hold. The origin x = 0 is an equilibrium point for the system (4.1). There exists a function h ∈ Ω2(t0) such that for each solution x of (4.1)–(4.2) with maximal interval of existence [t0, ω) there exist positive constants δ, a, b, k1, k2 and a function $$V\in C^{1}\left (\mathbb {R}\times \mathbb {R}^{m},\mathbb {R}_{+}\right )$$, satisfying \begin{align} k_{1}\left|\alpha\right|^{a}\leqslant V\left(t,\alpha\right)\leqslant k_{2}\left|\alpha\right|^{a},\quad\forall t\in[t_{0},\omega),\quad\forall\alpha\in\mathbb{R}^{m}, \end{align} (4.7) \begin{align} \left.\frac{\partial V\left(t,\alpha\right)}{\partial t}\right|_{\alpha=x\left(t\right)}+\left.\frac{\partial V\left(t,\alpha\right)}{\partial\alpha}\right|_{\alpha=x\left(t\right)}\cdot f\left(t,x\left(t\right)\right)\leqslant-h\left(t\right)\left|x\left(t\right)\right|^{b}, \end{align} (4.8) for almost all t ∈ (t0, ω) that satisfy $$\left |x\left (t\right )\right |<\delta$$. Then all solutions of (4.1)–(4.2) are defined on $$[t_{0},\infty )$$ for any initial condition $$\left |x_{0}\right |<\sqrt [a]{\frac {k_{1}}{k_{2}}}\delta$$; moreover, the origin x = 0 is uniformly stable and asymptotically stable. Additionally, if Inequality (4.8) is satisfied for $$\delta =\infty$$ then x = 0 is globally asymptotically stable. Before giving the proof of Theorem 4.1 we compare it to the results obtained in Malisoff & Mazenc (2005). That reference considers systems of the form $$\dot {x}=f\left (x,u\right )$$ in which u is the input, and x(t0) = x0 is the initial condition. Consider the set \begin{align*} \varOmega_{1}(t_{0})=\left\{ h\in C^{0}\left(\mathbb{R},\mathbb{R}_{+}\right)/\:\exists{\tau},{\varepsilon},{\bar{h}}>0 \textrm{satisfying}\int\limits_{t-\tau}^{t}h(s)\ \textrm{d}s\geqslant\varepsilon \ \textrm{and}\ h\left(t\right)\leqslant\bar{h}\textrm{,}\quad\forall t\geqslant t_{0}\right\}\!\!. \end{align*} If there exists a C1 Lyapunov function V such that $$\frac {d}{dt}V\left (t,x(t),u(t)\right )\leqslant -h(t)\beta _{1}\left (\left |x(t)\right |\right )$$ for almost all t > t0 with $$\left |x(t)\right |\geqslant \beta _{2}\left (|u(t)|\right )$$ for some h ∈ Ω1, $$\beta _{1}\in \mathscr {K}_{\infty }\cap C^{1}$$ and some $$\beta _{2}\in \mathscr {K}_{\infty }$$, then the system is input-to-state stable (see Definition 1 and Theorem 5 in Malisoff & Mazenc (2005)). Any continuous periodic function that is not identically zero belongs to the set Ω1. Additionally, there are non-periodic functions that belong to Ω1 (Malisoff & Mazenc, 2005, p. 3). The contribution of Theorem 4.1 is to provide sufficient conditions for the asymptotic stability of (4.1)–(4.2) for functions h that belong to the set Ω2 which is larger than Ω1. Proposition 4.1 Ω1 ⊂ Ω2 and Ω2∖Ω1 is non-empty. Proof. To prove that Ω1 ⊂ Ω2, assume that there exists a function $$h:\mathbb {R}\rightarrow \mathbb {R}_{+}$$ such that h ∈ Ω1 and h ∉ Ω2. Since h ∈ Ω1, then h is continuous (and hence Lebesgue measurable) and there exist τ > 0 and there exists ε > 0 such that $$\int _{t-\tau }^{t}h(s)\ \textrm {d}s\geqslant \varepsilon \ \textrm {for all} \ t\geqslant t_{0}$$. On the other hand, since h ∉ Ω2, then $$\int _{t_{0}}^{\infty }h(s)\ \textrm {d}s\neq \infty$$. Thus, $$\int _{t_{0}}^{\infty }h(s)\ \textrm {d}s=w\in \mathbb {R}_{+}$$ since h ≥ 0. On the other hand, we conclude by the inequality $$\int _{t-\tau }^{t}h(s)\ \textrm {d}s\geqslant \varepsilon \ \textrm {for all}\ t\geqslant t_{0}$$ that $$\int _{t-\tau }^{t_{0}}h(s)\ \textrm {d}s+\int _{t_{0}}^{t}h(s)\ \textrm {d}s\geqslant \varepsilon$$ for all t ≥ t0. Taking $$t\rightarrow \infty$$ leads to the contradiction − w + w = 0 ⩾ ε. Therefore, Ω1 ⊂ Ω2. To prove that Ω2∖Ω1 is non-empty, consider the continuous function $$h:\mathbb {R}\rightarrow \mathbb {R}$$ defined by $$h(t)=\frac {1}{t+1}$$ for all t ≥ t0 and $$h(t)=\frac {1}{t_{0}+1}$$ for all t ≤ t0. Then $$\int _{t_{0}}^{\infty }h(s)\ \textrm {d}s=\infty$$ so that h ∈ Ω2. Suppose that there exist τ > 0 and ε > 0 such that for all t ≥ t0 + τ, $$\int _{t-\tau }^{t}h(s)\ \textrm {d}s=\ln {\left (\frac {t+1}{t-\tau +1}\right )}\geqslant \varepsilon$$. Taking $$t\rightarrow \infty$$ leads to a contradiction which shows that h ∈ Ω2∖Ω1. Another example is $$h:\mathbb {R}\rightarrow \mathbb {R}$$ defined by h(t) = t for all $$t \in \mathbb {R}$$ which is in Ω2∖Ω1. □ We now present the proof of Theorem 4.1. Proof of Theorem 4.1. Let x be a solution of (4.1)–(4.2) with maximal interval of existence [t0, ω). Define $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ as $$z\left (t\right )=V\left (t,x\left (t\right )\right )$$ for all t ∈ [t0, ω). Since x is absolutely continuous and V is continuously differentiable, the function z is absolutely continuous on each compact interval of [t0, ω). Therefore, Condition (i) of Lemma 3.1 is satisfied. We get from (4.8) and (4.7) that \begin{align*} \dot{z}\left(t\right)=\left.\frac{\partial V\left(t,\alpha\right)}{\partial t}\right|_{\alpha=x\left(t\right)}+\left.\frac{\partial V\left(t,\alpha\right)}{\partial\alpha}\right|_{\alpha=x\left(t\right)}\cdot f\left(t,x\left(t\right)\right)\leqslant0\end{align*} for almost all t ∈ (t0, ω) that satisfy $$0<z\left (t\right )<k_{1}\delta ^{a}$$. Thus, Condition (ii) of Lemma 3.1 is satisfied with z1 = 0 and z2 = k1δa. It follows from Lemma 3.1 that if $$z\left (t_{0}\right )<z_{2}=k_{1}\delta ^{a}$$ then $$z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ∈ [t0, ω). This fact combined with Inequalities (4.7) leads to \begin{align*} \left|x\left(t\right)\right|\leqslant\sqrt[a]{\frac{k_{2}}{k_{1}}}\left|x_{0}\right|,\quad\forall t\in[t_{0},\omega)\textrm{ whenever }\left|x_{0}\right|<\sqrt[a]{\frac{k_{1}}{k_{2}}}\:\delta.\end{align*} It also follows that $$\omega =\infty$$ whenever $$\left |x_{0}\right |<\sqrt [a]{\frac {k_{1}}{k_{2}}}\:\delta$$ (Schmitt & Thompson, 1988, p. 71). These facts mean that the equilibrium point x = 0 is uniformly stable. Assume that $$\left |x_{0}\right |<\sqrt [a]{\frac {k_{1}}{k_{2}}}\:\delta$$. Define $$\chi :[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ as $$\chi \left (t\right )=\int _{t_{0}}^{t}h\left (\tau \right )\ \textrm {d}\tau$$ for all $$t\in [t_{0},\infty )$$. Since the function h is non-negative almost everywhere on $$[t_{0},\infty )$$, the function χ is non-decreasing. Thus, the fact that h ∈ Ω2 implies that there exists $$T_{1} \in (t_{0},\infty )$$ such that \begin{align} \chi\left(T_{1}\right)>\max{\left(\frac{1}{k_{1}^{\frac{b}{a}}\delta^{b}}\,,k_{2}^{\frac{b^{2}}{a^{2}}}\left(\frac{a}{b}\right)^{\frac{b}{a}},\frac{1}{\delta^{b}}\left(\frac{{{k_{2}^{2}}}}{k_{1}}\right)^{\frac{b}{a}}\right)}, \end{align} (4.9) and hence \begin{align} \chi\left(t\right)>k_{2}^{\frac{b^{2}}{a^{2}}}\left(\frac{a}{b}\right)^{\frac{b}{a}},\:\forall t\geqslant T_{1}. \end{align} (4.10) Let $$\psi _{1}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ be defined as $$\psi _{1}\left (t\right )=k_{1}\delta ^{a}$$ for all $$t\in [t_{0},\infty )$$. Since ψ1 is a constant function, it is absolutely continuous on [t0, ω). Define $$\varphi _{1}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ as \begin{align} \varphi_{1}\left(t\right)=\begin{cases} \left(\chi\left(t\right)\right)^{-\frac{a}{b}} & t\in[T_{1},\infty),\\ \left(\chi\left(T_{1}\right)\right)^{-\frac{a}{b}} & t\in[t_{0},T_{1}). \end{cases} \end{align} (4.11) We have $$\varphi _{1}\left (t\right )\leqslant \left (\chi \left (T_{1}\right )\right )^{-\frac {a}{b}}$$ for all t ⩾ t0 because the function χ is non-decreasing. Furthermore, it follows from (4.9) that $$\chi \left (T_{1}\right )>1/k_{1}^{\frac {b}{a}}\delta ^{b}$$. Therefore, we have \begin{align} \varphi_{1}\left(t\right)<\psi_{1}\left(t\right)=k_{1}\delta^{a},\quad\forall t\geqslant t_{0}, \end{align} (4.12) and hence Inequalities (3.9) and (3.1) are satisfied. The function φ1 is continuous on $$[t_{0},\infty )$$ and is continuously differentiable on the open set $$(t_{0},T_{1})\cup (T_{1},\infty )$$ and thus it is absolutely continuous on each compact interval of $$[t_{0},\infty )$$. Moreover, we have \begin{align*} \dot{\varphi}_{1}\left(t\right)=\begin{cases} -\frac{a}{b}\left(\chi\left(t\right)\right)^{-\frac{a}{b}-1}h\left(t\right) & t\in\left(T_{1},\infty\right)\!,\\ 0 & t\in\left(t_{0},T_{1}\right)\!. \end{cases}\end{align*} Observe that $$\dot {\varphi }_{1}\left (t\right )\leqslant 0$$ for almost all t > t0 because the function h is non-negative almost everywhere on $$[t_{0},\infty )\supset (T_{1},\infty )$$. Thus, Inequalities (4.7) and (4.8) imply that \begin{align} \dot{z}\left(t\right)\leqslant0=\min{\left(\dot{\varphi}_{1}\left(t\right),\dot{\psi}_{1}\left(t\right)\right)}\textrm{for almost all}\ t\in\left(t_{0},T_{1}\right)\textrm{that satisfy}\ z\left(t\right)<k_{1}\delta^{a}. \end{align} (4.13) On the other hand, we obtain from (4.7) and (4.8) that \begin{align} \dot{z}\left(t\right)\leqslant-h\left(t\right)\left(\frac{z\left(t\right)}{k_{2}}\right)^{\frac{b}{a}}\textrm{for almost all}\ t> t_{0}\ \textrm{that satisfy}\ z\left(t\right)<\psi_{1}\left(t\right)=k_{1}\delta^{a}. \end{align} (4.14) It comes from (4.10) that \begin{align*} -h(t)\left(\frac{\varphi_{1}(t)}{k_{2}}\right)^{\frac{b}{a}}\leqslant\dot{\varphi}\left(t\right)\textrm{for almost all}\ t>T_{1}, \end{align*} and thus we get from (4.14) that \begin{align} \begin{split} \dot{z}\left(t\right)\leqslant \min{\left(\dot{\varphi}_{1}\left(t\right),\dot{\psi}_{1}\left(t\right)\right)}\leqslant0&\textrm{ for almost all }t>T_{1}\\ & \textrm{ that satisfy }\varphi_{1}\left(t\right)<z\left(t\right)<\psi_{1}\left(t\right)=k_{1}\delta^{a}. \end{split} \end{align} (4.15) Combining Equations (4.15) and (4.13) it comes that Inequalities (3.2) and (3.10) are satisfied. Therefore, we get from (3.3) and (3.11) and Propositions 3.1 and 3.2 that \begin{align} z\left(t\right) & \leqslant \varphi_{1}\left(t\right),\;\forall t\in[t_{0},\infty)\ \textrm{whenever}\ z\left(t_{0}\right)\leqslant\left(\chi\left(T_{1}\right)\right)^{-\frac{a}{b}}\!, \\ z\left(t\right) & < \psi_{1}\left(t\right)=k_{1}\delta^{a},\;\forall t\in[t_{0},\infty)\ \textrm{whenever}\left(\chi\left(T_{1}\right)\right)^{-\frac{a}{b}}<z\left(t_{0}\right)<k_{1}\delta^{a}. \nonumber \end{align} (4.16) Recall that, owing to Inequality (4.9), we have $$\chi \left (T_{1}\right )>\frac {1}{\delta ^{b}}\left (\frac {{{k_{2}^{2}}}}{k_{1}}\right )^{\frac {b}{a}}$$. This fact along with Inequalities (4.7) imply that \begin{align}\begin{aligned} \left|x\left(t\right)\right| & \leqslant \sqrt[a]{\frac{\varphi_{1}\left(t\right)}{k_{1}}},\quad\forall t\in[t_{0},\infty),\ \textrm{whenever}\left|x_{0}\right|\leqslant\frac{1}{k_{2}^{\frac{1}{a}}\left(\chi\left(T_{1}\right)\right)^{\frac{1}{b}}}, \\ \left|x\left(t\right)\right| & < \delta,\quad \forall t\in[t_{0},\infty)\textrm{ whenever }\frac{1}{k_{1}^{\frac{1}{a}}\left(\chi\left(T_{1}\right)\right)^{\frac{1}{b}}}<\left|x_{0}\right|<\sqrt[a]{\frac{k_{1}}{k_{2}}}\:\delta. \end{aligned} \end{align} (4.17) Note that $$\frac {1}{k_{1}^{1/a}\left (\chi \left (T_{1}\right )\right )^{1/b}}<\sqrt [a]{\frac {k_{1}}{k_{2}}}\:\delta$$ because $$\chi \left (T_{1}\right )>\frac {1}{\delta ^{b}}\left (\frac {{{k_{2}^{2}}}}{k_{1}}\right )^{\frac {b}{a}}$$. Observe that, owing to Equation (4.11), it comes that $$\lim _{t\rightarrow \infty }\varphi _{1}\left (t\right )=0$$ because h ∈ Ω2. Hence, it follows from (4.17) that $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant \frac {1}{k_{2}^{\frac {1}{a}}\left (\chi \left (T_{1}\right )\right )^{\frac {1}{b}}}$$. Thus, the equilibrium x = 0 is a locally attractive point although it is not a uniformly locally attractive point because T1 depends on t0. To sum up, we have proved so far that x = 0 is stable and locally attractive. This means that x = 0 is asymptotically stable. Finally, we need to prove that when Inequality (4.8) is satisfied for $$\delta =\infty$$ then x = 0 is globally asymptotically stable. To this end, we first need to prove that $$\omega =\infty$$ for any initial condition $$x_{0}\in \mathbb {R}^{m}$$, where [t0, ω) is the largest interval of existence of the Carathéodory solutions of (4.1)–(4.2). This comes next. We have from (4.8) that $$\dot {z}\left (t\right )\leqslant 0$$ for almost all t ∈ (t0, ω). Thus, all conditions of Lemma 3.1 are satisfied with z1 = 0 and $$z_{2}=z\left (t_{0}\right )+1$$ and thus we have $$z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ∈ [t0, ω). Therefore (4.7) implies that: \begin{align*} \left|x\left(t\right)\right|\leqslant\sqrt[a]{\frac{k_{2}}{k_{1}}}\left|x_{0}\right|,\quad\forall t\in[t_{0},\omega)\ \textrm{for any}\ x_{0}\in\mathbb{R}^{m},\end{align*} and hence $$\omega =\infty$$ for any $$x_{0}\in \mathbb {R}^{m}$$. The rest of the analysis is dedicated to proving that x = 0 is globally asymptotically stable. Note first that the fact that h ∈ Ω2 leads to the existence of T2 > t0 such that \begin{align} \chi\left(t\right)>k_{2}^{\frac{b^{2}}{a^{2}}}\left(\frac{a}{b}\right)^{\frac{b}{a}},\quad\forall t\geqslant T_{2}. \end{align} (4.18) Let $$\varphi _{2}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ be defined as \begin{align*} \varphi_{2}\left(t\right)=\begin{cases} \left(\chi\left(t\right)\right)^{-\frac{a}{b}} & t\in[T_{2},\infty),\\ \left(\chi\left(T_{2}\right)\right)^{-\frac{a}{b}} & t\in[t_{0},T_{2}). \end{cases}\end{align*} We have $$\varphi _{2}\left (t\right )\leqslant \left (\chi \left (T_{2}\right )\right )^{-\frac {a}{b}}$$ for all t ⩾ t0 and $$\lim _{t\rightarrow \infty }\varphi _{2}\left (t\right )=0$$ because χ is non-decreasing and h ∈ Ω2. It comes from (4.18) that \begin{align} -h\left(t\right)\left(\frac{\varphi_{2}\left(t\right)}{k_{2}}\right)^{\frac{b}{a}}\leqslant\dot{\varphi}_{2}\left(t\right)\textrm{for almost all}\ t>T_{2}. \end{align} (4.19) Define a constant function $$\psi _{2}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ as \begin{align*} \psi_{2}\left(t\right)=1+\left\Vert \varphi_{2}\right\Vert +z\left(t_{0}\right)=1+\left\Vert \varphi_{2}\right\Vert +V\left(t_{0},x_{0}\right),\quad\forall t\geqslant t_{0}.\end{align*} Observe that Inequalities (3.9) and (3.1) are satisfied. On the other hand, Inequality (4.8) implies that \begin{align} \dot{z}\left(t\right)\leqslant0=\min{\left(\dot{\varphi}_{2}\left(t\right),\dot{\psi}_{2}\left(t\right)\right)}\ \textrm{for almost all}\ t\in\left(t_{0},T_{2}\right). \end{align} (4.20) On the other hand, we obtain from (4.7) and (4.8) that \begin{align} \dot{z}\left(t\right)\leqslant-h\left(t\right)\left(\frac{z\left(t\right)}{k_{2}}\right)^{\frac{b}{a}}\textrm{for almost all}\ t> t_{0}. \end{align} (4.21) Hence, (3.12), (3.13) and (3.14) are satisfied with $$H\left (v\right )=v^{\frac {b}{a}}$$ for all v ⩾ 0 and $$q\left (t\right )=k_{2}^{-\frac {b}{a}}h\left (t\right )$$ for all t ≥ t0. Moreover, we get by (4.19) and (4.21) that \begin{align*} \dot{z}\left(t\right)\leqslant\min{\left(\dot{\varphi_{2}}\left(t\right),\dot{\psi_{2}}\left(t\right)\right)}\leqslant0 \ \textrm{for almost all}\ t>T_{2}\ \textrm{that satisfy}\ z(t)>\varphi_{2}(t).\end{align*} Observe that (4.20) implies that Inequalities (3.2) and (3.10) are satisfied. Therefore, all conditions of Corollary 3.1 are satisfied. This implies that for any $$x_{0}\in \mathbb {R}^{m}$$ we have $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Therefore, we obtain from (4.7) that $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ for any initial condition $$x_{0}\in \mathbb {R}^{m}$$ and hence x = 0 is globally attractive. Thus, x = 0 is globally asymptotically stable since it is stable. We now apply Theorem 4.1 to the study of the asymptotic stability of a class of linear time-varying (LTV) systems. Unlike linear time-invariant systems, the stability of LTV systems cannot be linked with the location of the eigenvalues of their system matrix (Wu, 1974). For this reason, only special classes of LTV systems have been studied in the literature. In the following example we consider a second-order LTV system whose right-hand side may be discontinuous with respect to time. We provide sufficient conditions for the uniform stability and global asymptotic stability of the system. Example 4.1 Consider the linear time-invariant system \begin{align} \begin{aligned} \dot{x}\left(t\right) & = A\, x\left(t\right), \textrm{ for almost all } t \in [t_{0},\infty), \\ x\left(t_{0}\right) & = x_{0}, \end{aligned} \end{align} (4.22) where $$n \in \mathbb {N} \setminus \{0\}$$, A is an n × n real stable matrix, that is every eigenvalue of A has a strictly negative real part, $$t_{0} \in \mathbb {R}$$, $$x_{0} \in \mathbb {R}^{n}$$ and state $$x\left (t\right )\in \mathbb {R}^{n}$$. Let P be the real symmetric positive-definite n × n matrix that satisfies PA + ATP = In where In is the n × n identity matrix. Consider the Lyapunov function V (x) = xTPx, then V satisfies (4.7) and (4.8) with a = b = 2 and h(t) = 1 for all t ≥ t0, k1 and k2 being the smallest and largest eigenvalues of A. Since we can take $$\delta =\infty$$ it follows from Theorem 4.1 (ii) that the origin is globally asymptotically stable. Example 4.1 shows that when Theorem 4.1 is applied to linear time-invariant systems, the obtained stability result is not conservative. Example 4.2 Consider the LTV system \begin{align} \begin{aligned} \dot{x}\left(t\right) & = A\left(t\right)\, x\left(t\right), \textrm{ for almost all } t \in [t_{0},\infty), \\ x\left(t_{0}\right) & = x_{0}, \end{aligned} \end{align} (4.23) where $$t_{0} \in \mathbb {R}$$, $$x_{0} \in \mathbb {R}^{2}$$ and state $$x\left (t\right )\in \mathbb {R}^{2}$$. The matrix A is defined by \begin{align*} A\left(t\right)=\left[\begin{array}{cc} c_{1}\left(t\right) & c_{2}\left(t\right)\\ c_{3}\left(t\right) & c_{4}\left(t\right) \end{array}\right]\end{align*} for some measurable functions $$c_{i}:[t_{0},\infty )\rightarrow \mathbb {R},\, i=1,2,3,4$$. Assume that \begin{align} c_{1}\left(t\right)<0 \ \textrm{and}\ c_{4}\left(t\right)<0\ \textrm{for almost all}\ t\in[t_{0},\infty), \end{align} (4.24) \begin{align} 0\leqslant c_{2}\left(t\right)+c_{3}\left(t\right)<2\,\min\left(\left|c_{1}\left(t\right)\right|,\left|c_{4}\left(t\right)\right|\right)\textrm{for almost all}\ t\in[t_{0},\infty), \end{align} (4.25) \begin{align} \lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}c_{1}\left(\tau\right)\ \textrm{d}\tau=\lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}c_{4}\left(\tau\right)\ \textrm{d}\tau=-\infty, \end{align} (4.26) \begin{align} \lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}\left(c_{2}\left(\tau\right)+c_{3}\left(\tau\right)\right)\ \textrm{d}\tau<\infty. \end{align} (4.27) Since the matrix function A(t) is measurable, the system (4.23) satisfies all assumptions of (Filippov, 1988, Theorem 3). This implies that a unique absolutely continuous solution of (4.23) exists on $$[t_{0},\infty )$$. Observe that x = 0 is an equilibrium point for (4.23). Define $$h:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ for almost all t ⩾ t0 as \begin{align*} h\left(t\right)=-\max{\left(c_{1}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2},c_{4}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2}\right)}.\end{align*} Owing to (4.24)–(4.27) it comes that h is measurable, non-negative and $$\lim _{t\rightarrow \infty }\int _{t_{0}}^{t}h\left (\tau \right )\ \textrm {d}\tau =\infty$$. Consider the continuously differentiable quadratic Lyapunov function candidate $$V:\mathbb {R}^{2}\rightarrow \mathbb {R}_{+}$$ defined by \begin{align*} V\left(\alpha\right)=\frac{1}{2}\left|\alpha\right|^{2},\;\forall\alpha\in\mathbb{R}^{2}.\end{align*} Then Inequality (4.7) is satisfied with k1 = k2 = 1/2 and a = 2. We get for almost all $$t\in [t_{0},\infty )$$ that \begin{align*} \left.\frac{dV\left(\alpha\right)}{d\alpha}\right|_{\alpha=x\left(t\right)=( x_{1}(t),x_{2}(t))}\cdot f\left(t,x\left(t\right)\right) & = \left[\begin{array}{cc} x_{1}\left(t\right) & x_{2}\left(t\right)\end{array}\right]A\left(t\right)\left[\begin{array}{c} x_{1}\left(t\right)\\ x_{2}\left(t\right) \end{array}\right] \nonumber \\ & = c_{1}\left(t\right){{x_{1}^{2}}}+c_{4}\left(t\right){{x_{2}^{2}}}+\left(c_{2}\left(t\right)+c_{3}\left(t\right)\right)x_{1}x_{2} \nonumber \\ & \leqslant \left(c_{1}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2}\right){{x_{1}^{2}}} \nonumber \\ &\quad\ +\left(c_{4}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2}\right){{x_{2}^{2}}} \nonumber \\ & \leqslant -h\left(t\right)\left|x\left(t\right)\right|^{2}. \nonumber \end{align*} Thus, (4.8) is satisfied globally with b = 2 and $$\delta =\infty$$. Thus, it follows from Theorem 4.1 that x = 0 is uniformly stable and is globally asymptotically stable. Note that the special case $$c_{2}\left (t\right )=-c_{3}\left (t\right )$$ makes Conditions (4.25) and (4.27) trivially satisfied. 5. Asymptotic stability of perturbed linear systems In this section we study the stability of the following class of perturbed linear systems: \begin{equation} \dot{x}\left(t\right) = Ax\left(t\right)+g\left(t,x\left(t\right)\right), \end{equation} (5.1) \begin{equation} {\hskip-70pt} x\left(t_{0}\right) = x_{0}, \end{equation} (5.2) where t ⩾ t0, A is a m × m matrix, state $$x\left (t\right )\in \mathbb {R}^{m}$$ and a function $$g:[t_{0},\infty )\times \mathbb {R}^{m}\rightarrow \mathbb {R}^{m}$$. In this section, we assume that (B1) the function g(t, x) is locally essentially bounded on $$\mathbb {R}_{+} \times \mathbb {R}^{m}$$, (B2) for each $$x \in \mathbb {R}^{m}$$, the function t ↦g(t, x) is measurable, (B3) for almost all $$t \in \mathbb {R}_{+}$$, the function x ↦g(t, x) is continuous, (B4) and for all t ⩾ 0, g(t, 0) = 0. Assumptions (B1)–(B3) imply that the right-hand side of (5.1) satisfies Assumptions (A1)–(A3). This implies that a local Carathéodory solution for (5.1)–(5.2) exists and is defined on an interval of the form $$[t_{0},\omega ),\, t_{0}<\omega \leqslant \infty$$. Assumption (B4) means that x = 0 is an equilibrium point for (5.1). In the following theorem, we introduce sufficient conditions for the asymptotic stability of the system (5.1)–(5.2). The main novelty of the result is that the perturbation term $$g\left (t,\alpha \right )$$ may be unbounded with respect to time. Theorem 5.1 Suppose that the following Conditions 1– 4 hold. The matrix A is stable. There exist d > 1, $$\delta \in (0,\infty ]$$ and a function $$G\in C^{1}\left ([t_{0},\infty ),\mathbb {R}_{+}\right )$$ such that \begin{align} \left|g\left(t,\alpha\right)\right|\leqslant G\left(t\right)\left|\alpha\right|^{d},\quad\forall t\geqslant t_{0}\ \textrm{and}\ \forall\alpha\in\mathbb{R}^{m}\ \textrm{with}\left|\alpha\right|<\delta. \end{align} (5.3) The function G is non-decreasing on $$[t_{0},\infty )$$ with $$\lim _{t\rightarrow \infty }G\left (t\right )=\infty$$. For some instant t1 ⩾ t0 that satisfies $$G\left (t\right )>0$$ for all t ≥ t1, the function $$\Phi :[t_{1},\infty )\rightarrow \mathbb {R}_{+}$$ which is defined as $$\Phi \left (t\right )=\frac {\dot {G}\left (t\right )}{G\left (t\right )},\textrm {for all}\ t\geqslant t_{1},$$ is non-increasing with $$\lim _{t\rightarrow \infty }\Phi \left (t\right )=0$$. Then, there exists r > 0 such that if $$\left |x_{0}\right |\leqslant r$$, then each solution x(t) of (5.1)–(5.2) is continuable on $$[t_{0},\infty )$$, the origin x = 0 is asymptotically stable; in particular we have $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Moreover, if g is continuous then $$\lim _{t\rightarrow \infty }\dot {x}\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Proof. Since A is stable there exists a symmetric m × m matrix P > 0 that satisfies \begin{align} PA+A^{T}P=-I, \end{align} (5.4) where I is the identity m × m matrix (Khalil, 2002, p.136). Consider the quadratic Lyapunov function candidate $$V\in C^{1}\left (\mathbb {R}^{m},\mathbb {R}\right )$$ with $$V\left (\alpha \right )=\alpha ^{T}P\alpha$$ for all $$\alpha \in \mathbb {R}^{m}$$. Then (Khalil, 2002, p. 155) \begin{align} \lambda_{\min{}}\left|\alpha\right|^{2}\leqslant V\left(\alpha\right)\leqslant\lambda_{\max{}}\left|\alpha\right|^{2}, \end{align} (5.5) where $$\lambda _{\min }>0$$ and $$\lambda _{\max }>0$$ are respectively the minimum and the maximum eigenvalues of the matrix P. Thus, we get \begin{align*} \frac{dV\left(\alpha\right)}{d\alpha}\cdot A\alpha=-\left|\alpha\right|^{2},\quad\forall\alpha\in\mathbb{R}^{m},\end{align*} \begin{align*} \left|\frac{dV\left(\alpha\right)}{d\alpha}\right|=2\left|P\,\alpha\right|\leqslant2\left|P\right|_{2}\left|\alpha\right|=2\lambda_{\max{}}\left|\alpha\right|,\quad\forall\alpha\in\mathbb{R}^{m},\end{align*} where $$\left |P\right |_{2}$$ is the induced 2-norm for the matrix P. Therefore, \begin{align} \frac{dV\left(\alpha\right)}{d\alpha}\cdot \left(A\alpha+g\left(t,\alpha\right)\right) \leqslant -\left|\alpha\right|^{2}+2\lambda_{\max{}}\left|\alpha\right|\left|g\left(t,\alpha\right)\right|,\quad\forall t\in[t_{0},\infty),\quad\forall\alpha\in\mathbb{R}^{m}. \end{align} (5.6) Let x(t) be a solution of (5.1)–(5.2) with maximal interval of existence [t0, ω). Define $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ as $$z\left (t\right )=V\left (x\left (t\right )\right )$$ for all t ∈ [t0, ω). Since x absolutely continuous and V is continuously differentiable, the function z is absolutely continuous on each compact interval of [t0, ω). We obtain from (5.3) and (5.6) that \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant -\left|x\left(t\right)\right|^{2}+2\lambda_{\max{}}G\left(t\right)\left|x\left(t\right)\right|^{d+1}&\textrm{ for almost all }t\in\left(t_{0},\omega\right)\\ & \textrm{ that satisfy }\left|x\left(t\right)\right|<\delta. \end{aligned}\end{align} (5.7) On the other hand, Condition 4 and the fact that G is non-decreasing imply that there exists t2 > t1 such that \begin{align} \Phi\left(t\right)=\frac{\dot{G}\left(t\right)}{G\left(t\right)}\leqslant\frac{d-1}{8\lambda_{\max{}}},\ \textrm{for all}\ t\geqslant t_{2}, \end{align} (5.8) and \begin{align} \frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t_{2}\right)}}<\delta. \end{align} (5.9) Let $$\psi ,\varphi :[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ be defined as \begin{align*} \psi\left(t\right)=\begin{cases} \lambda_{\min{}}\left(\frac{1}{4\lambda_{\max{}}G\left(t_{2}\right)}\right)^{\frac{2}{d-1}} & \textrm{if}\ t_{0}\leqslant t<\min{\left(t_{2},\omega\right)}\\ \lambda_{\min{}}\left(\frac{1}{4\lambda_{\max{}}G\left(t\right)}\right)^{\frac{2}{d-1}} & \textrm{if}\ t_{2}\leqslant t<\omega\ \textrm{and}\ t_{2}<\omega \end{cases}\end{align*} and $$\varphi \left (t\right )=\frac {1}{2}\psi \left (t\right )$$ for all t ∈ [t0, ω). The functions ψ and φ are absolutely continuous on each compact interval of [t0, ω) because the function $$G:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ is continuously differentiable. From (5.9) and the definitions of φ and ψ, we conclude that \begin{align} \varphi\left(t\right)<\psi\left(t\right)<\lambda_{\min{}}\delta^{2},\quad\forall t\in[t_{0},\omega), \end{align} (5.10) and hence Inequality (3.1) is satisfied. Since the function G is non-decreasing on $$[t_{0},\infty )$$, we have \begin{align} \dot{\psi}\left(t\right)\leqslant\dot{\varphi}\left(t\right)\leqslant0,\textrm{for almost all}\ t\in\left(t_{0},\omega\right). \end{align} (5.11) Moreover, it comes from (5.9) and (5.7) that if t2 < ω, then \begin{align} \dot{z}\left(t\right)\leqslant-\frac{1}{2}\left|x\left(t\right)\right|^{2},\ \textrm{for almost all}\ t\in\left(t_{2},\omega\right)\textrm{that satisfy}\left|x\left(t\right)\right|<\frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t\right)}}. \end{align} (5.12) Claim 1. We have \begin{aligned} \dot{z}\left(t\right)\leqslant -\frac{1}{2}\left|x\left(t\right)\right|^{2},\textrm{ for almost all }&t\in\left(t_{0},\min{\left(t_{2},\omega\right)}\right)\textrm{ that satisfy }\\ & \left|x\left(t\right)\right|<\frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t_{2}\right)}}. \end{aligned} (5.13) Proof. Let $$S=\left \{ \tau \in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )/G\left (t\right )=0,\textrm {for all} \ t\in \left (t_{0},\tau \right )\right \}$$. If S = ∅, then the fact that $$G\in C^{1}\left ([t_{0},\infty ),\mathbb {R}_{+}\right )$$ is non-decreasing implies that $$G\left (t\right )>0$$ for all $$t\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$. Thus, \begin{align*} \frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t_{2}\right)}}\leqslant\frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t\right)}},\quad\forall t\in\left(t_{0},\min{\left(t_{2},\omega\right)}\right),\end{align*} and hence (5.7) and (5.9) imply that (5.13) is satisfied. If $$S=\left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$, then $$G\left (t\right )=0$$ for all $$t\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$ and thus (5.13) is satisfied because of (5.7) and (5.9). If S ≠ ∅ and $$S\neq \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$, then the continuity of G implies that $$T_{3}=\sup {S}\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$. Thus, $$G\left (t\right )=0$$ for all $$t\in \left (t_{0},T_{3}\right )$$ and $$G\left (t\right )>0$$ for all $$t\in \left (T_{3},\min {\left (t_{2},\omega \right )}\right )$$. By considering the intervals $$\left (t_{0},T_{3}\right )$$ and $$\left (T_{3},\min {\left (t_{2},\omega \right )}\right )$$ it can be verified that (5.13) is satisfied. □ We have from (5.5), (5.12) and (5.13) that \begin{align} \dot{z}\left(t\right)\leqslant-\frac{1}{2\lambda_{\max{}}}z\left(t\right),\textrm{for almost all}\ t\in\left(t_{0},\omega\right)\textrm{that satisfy}\ z\left(t\right)<\psi\left(t\right)\!. \end{align} (5.14) Claim 2. If t2 < ω, then \begin{align*} \dot{z}\left(t\right)\leqslant\min{\left(\dot{\varphi}\left(t\right),\dot{\psi}\left(t\right)\right)}\ \textrm{for almost all}\ t\in\left(t_{2},\omega\right)\textrm{that satisfy}\ \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right)\!.\end{align*} Proof. We deduce from (5.8) that \begin{align*} -\frac{1}{4\lambda_{\max{}}}\leqslant\frac{2}{\left(d-1\right)}\left(\frac{1}{4\lambda_{\max{}}G\left(t\right)}\right)^{-1}\frac{d}{dt}\left(\frac{1}{4\lambda_{\max{}}G\left(t\right)}\right) \textrm{for almost all}\ t>t_{2}. \end{align*} By multiplying both sides by $$\lambda _{\min {}}\left (\frac {1}{4\lambda _{\max {}}G\left (t\right )}\right )^{\frac {2}{d-1}}$$, we get \begin{align} -\frac{1}{2\lambda_{\max{}}}\varphi\left(t\right)\leqslant\dot{\psi}\left(t\right)\textrm{for almost all}\ t>t_{2}. \end{align} (5.15) On the other hand, one has $$\dot {\psi }\left (t\right )=\min {\left (\dot {\varphi }\left (t\right ),\dot {\psi }\left (t\right )\right )}\ \textrm {for almost all}\ t\in \left (t_{2},\omega \right )$$ because of (5.11). Therefore, Inequalities (5.14) and (5.15) complete the proof. □ Claim 2 and the fact that $$\dot {\psi }\left (t\right )=\dot {\varphi }\left (t\right )=0,\textrm {for almost all}\ t\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$ imply that \begin{align*} \dot{z}\left(t\right)\leqslant\min{\left(\dot{\varphi}\left(t\right),\dot{\psi}\left(t\right)\right)}\ \textrm{for almost all}\ t\in\left(t_{0},\omega\right)\textrm{that satisfy}\ \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right).\end{align*} Therefore, Inequality (3.2) is satisfied. Equation (3.3) of Proposition 3.1 gives \begin{align*} z\left(t\right)\leqslant\varphi\left(t\right),\quad\forall t\in[t_{0},\omega)\ \textrm{whenever}\ z\left(t_{0}\right)\leqslant\varphi\left(t_{0}\right)=\frac{\lambda_{\min{}}}{2\left(4\lambda_{\max{}}G\left(t_{2}\right)\right)^{\frac{2}{d-1}}},\end{align*} which together with (5.5) lead to \begin{align} \left|x\left(t\right)\right|\leqslant\sqrt{\frac{\varphi\left(t\right)}{\lambda_{\min{}}}},\quad\forall t\in[t_{0},\omega)\ \textrm{whenever}\left|x_{0}\right|\leqslant r, \end{align} (5.16) where $$r=\frac {\sqrt {\frac {\lambda _{\min {}}}{2}}}{\sqrt [d-1]{4\left (\lambda _{\max {}}\right )^{\frac {d+1}{2}}G\left (t_{2}\right )}}$$. Note that (5.10) implies that $$\omega =\infty$$ whenever $$\left |x_{0}\right |\leqslant r$$. In the rest of the proof, we assume that $$\left |x_{0}\right |\leqslant r$$. Since $$\omega =\infty$$ and $$\lim _{t\rightarrow \infty }G\left (t\right )=\infty$$ we have $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=\lim _{t\rightarrow \infty }\psi \left (t\right )=0$$. Thus, we get from (5.16) that \begin{align} \lim_{t\rightarrow\infty}x\left(t\right)=0 \ \textrm{whenever}\left|x_{0}\right|\leqslant r. \end{align} (5.17) Hence x = 0 is a locally attractive equilibrium point for (5.1). Note that x = 0 is not uniformly locally attractive because r depends on t0. Since the function φ is non-increasing, Inequality (3.4) is satisfied because of (5.14). Therefore, $$z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ≥ t0, whenever $$z\left (t_{0}\right )\leqslant \varphi \left (t_{0}\right )$$ (see 3.5). Hence, we deduce from (5.5) that \begin{align*} \left|x\left(t\right)\right|\leqslant\sqrt{\frac{\lambda_{\max{}}}{\lambda_{\min{}}}}\left|x_{0}\right|,\quad\forall t\geqslant t_{0},\textrm{whenever}\left|x_{0}\right|\leqslant r.\end{align*} Thus, the equilibrium x = 0 is stable. This implies that this equilibrium is asymptotically stable because it is locally attractive. Finally, we deduce from (5.10) and (5.16) that \begin{align*} \left|x\left(t\right)\right|<\delta,\quad\forall t\geqslant t_{0}\ \textrm{whenever}\left|x_{0}\right|\leqslant r.\end{align*} Therefore, (5.1) and (5.3) imply that \begin{align} \left|\dot{x}\left(t\right)\right|\leqslant\left|A\right|_{2}\left|x\left(t\right)\right|+G\left(t\right)\left|x\left(t\right)\right|^{d},\textrm{ for almost all}\ t>t_{0}, \end{align} (5.18) where $$\left |A\right |_{2}$$ is the induced 2-norm of the matrix A. Hence, we obtain from (5.16) and the definition of the function φ that \begin{align*} \left|\dot{x}\left(t\right)\right|\leqslant\left|A\right|_{2}\left|x\left(t\right)\right|+G\left(t\right)\left(\frac{1}{\sqrt{2}\left(4\lambda_{\max{}}G\left(t\right)\right)^{\frac{1}{d-1}}}\right)^{d},\textrm{ for almost all}\ t>t_{2},\end{align*} so that \begin{align} \left|\dot{x}\left(t\right)\right|\leqslant\left|A\right|_{2}\left|x\left(t\right)\right|+\frac{c}{\left(G\left(t\right)\right)^{\frac{d}{d-1}}},\textrm{for almost all}\ t>t_{2}, \end{align} (5.19) where $$c=\frac {1}{2^{\frac {d}{2}}\left (4\lambda _{\max {}}\right )^{\frac {d}{d-1}}}$$. If g is continuous, then Inequality (5.19) holds for all t > t2. Thus, (5.17) and the fact that $$\lim _{t\rightarrow \infty }G\left (t\right )=\infty$$ lead to \begin{align*} \lim_{t\rightarrow\infty}\dot{x}\left(t\right)=0,\textrm{whenever}\left|x_{0}\right|\leqslant r.\end{align*} Example 5.1 Consider the second-order system \begin{align} \dot{x}_{1}\left(t\right) = x_{2}\left(t\right), \end{align} (5.20) \begin{align} \dot{x}_{2}\left(t\right) = -4\, x_{1}\left(t\right)-2\, x_{2}\left(t\right)-t^{4}{{x_{2}^{3}}}\left(t\right), \end{align} (5.21) where t ⩾ t0 ⩾ 0, x1 and x2 take values in $$\mathbb {R}$$. The system (5.20)–(5.21) can be rewritten as (5.1) where $$x\left (t\right )= \left (x_{1}\left (t\right ), x_{2}\left (t\right )\right ),\; t\geqslant t_{0}$$, \begin{align*} A=\left[\begin{array}{cc} 0 & 1\\ -4 & -2 \end{array}\right],\end{align*} and \begin{align} g\left(t,\alpha\right)=\left( 0,-t^{4}{{\alpha_{2}^{3}}}\right),\quad\forall t\geqslant t_{0},\quad\forall\alpha=(\alpha_{1},\alpha_{2})\in\mathbb{R}^{2}. \end{align} (5.22) The right-hand sides of (5.20)–(5.21) are continuous and satisfie a local Lipschitz condition with respect to x.2 Hence, (5.20)–(5.21) has a unique continuously differentiable solution x(t) that is defined on an interval of the form $$[t_{0},\omega ),\:t_{0}<\omega \leqslant \infty$$ (Schmitt & Thompson, 1988, p. 70). Define $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ as $$z\left (t\right )=x^{2}\left (t\right )$$ for all t ∈ [t0, ω). Since x is continuously differentiable, the function z is absolutely continuous on each compact interval of [t0, ω). The eigenvalues of the matrix A are $$-1+i\,\sqrt {3}$$ and $$-1-i\,\sqrt {3}$$ where $$i=\sqrt {-1}$$. This implies that A is stable and hence Condition 1 of Theorem 5.1 is satisfied. On the other hand, we deduce from (5.22) that \begin{align*} \left|g\left(t,\alpha\right)\right|=t^{4}{{\alpha_{2}^{3}}}\leqslant t^{4}\left(\sqrt{{{\alpha_{1}^{2}}}+{{\alpha_{2}^{2}}}}\right)^{3}=t^{4}\left|\alpha\right|^{3},\quad\forall t\geqslant t_{0},\quad\forall\alpha=(\alpha_{1},\alpha_{2})\in\mathbb{R}^{2},\end{align*} which implies that (5.3) is satisfied with d = 3, $$\delta =\infty$$ and $$G\left (t\right )=t^{4}$$ for all t ⩾ t0. This means that Condition 2 of Theorem 5.1 is satisfied. Condition 3 of Theorem 5.1 is also satisfied. Let t1 > t0 ⩾ 0, then $$G\left (t\right )=t^{4}>0$$ for all t ⩾ t1. The function $$\Phi :[t_{1},\infty )\rightarrow \mathbb {R}_{+}$$ which is defined as $$\Phi \left (t\right )=\frac {\dot {G}\left (t\right )}{G\left (t\right )}=\frac {4}{t},\ \textrm {for all}\ t\geqslant t_{1}>0$$ is strictly decreasing with $$\lim _{t\rightarrow \infty }\Phi \left (t\right )=0$$. Hence, Condition 4 of Theorem 5.1 is satisfied. Thus, using Theorem 5.1 it comes that There exists r > 0 such that if $$\left |x_{0}\right |\leqslant r$$ then $$\omega = \infty$$. The origin x = 0 is asymptotically stable; in particular we have $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Moreover, $$\lim _{t\rightarrow \infty }\dot {x}\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Simulations: Take t0 = 0 and x0 = (0.02, −0.02). It can be observed in Fig. 1 that $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$. Fig. 2 shows that $$\lim _{t\rightarrow \infty }\dot {x}\left (t\right )=0$$. Fig. 1. View largeDownload slide x2(t) versus x1(t) for system (5.20)–(5.21). Fig. 1. View largeDownload slide x2(t) versus x1(t) for system (5.20)–(5.21). Fig. 2. View largeDownload slide $$\dot {x}_{2}(t)$$ versus $$\dot {x}_{1}(t)$$ for system (5.20)–(5.21). Fig. 2. View largeDownload slide $$\dot {x}_{2}(t)$$ versus $$\dot {x}_{1}(t)$$ for system (5.20)–(5.21). 6. Conclusions This paper dealt with the asymptotic stability of non-linear time-varying systems. The study is cast within the following framework: given an unknown absolutely continuous function z ≥ 0, provide sufficient conditions on z that allow (1) the knowledge of an upper bound on z and (2) show that z vanishes at infinity. This framework is shown to be useful for the analysis of the asymptotic stability of some classes of linear and non-linear time-varying systems. Acknowledgements Supported by the Spanish Ministry of Economy, Industry and Competitiveness through grant DPI2016-77407-P (AEI/FEDER, UE). References Aeyels , D. & Peuteman , J. ( 1998 ) A new asymptotic stability criterion for nonlinear time-variant differential equations . IEEE Trans. Automatic Control , 43 , 968 -- 971 . Google Scholar CrossRef Search ADS Bacciotti , A. & Rosier , L. ( 2005 ) Liapunov Functions and Stability in Control Theory . Springer . Google Scholar CrossRef Search ADS Filippov , A.F. ( 1988 ) Differential Equations with Discontinuous Right-Hand Sides . Kluwer . Google Scholar CrossRef Search ADS Khalil , H.K. ( 2002 ) Nonlinear Systems . 3rd edn. Upper Saddle River, New Jersey : Prentice Hall , ISBN 0130673897 . Loría , A. , Panteley , E. , Popović , D. & Teel , A.R. ( 2005 ) A nested Matrosov theorem and persistency of excitation for uniform convergence in stable nonautonomous systems , IEEE Trans. Automatic Control , 50 , 183 -- 198 . Google Scholar CrossRef Search ADS Malisoff , M. & Mazenc , F. ( 2005 ) Further remarks on strict input-to-state stable Lyapunov functions for time-varying systems , Automatica , 41 , 1973 -- 1978 . Google Scholar CrossRef Search ADS Mazenc , F . ( 2003 ) Strict Lyapunov functions for time-varying systems , Automatica , 39 , 349 -- 353 . Google Scholar CrossRef Search ADS Mu , X. & Cheng , D. ( 2005 ) On the stability and stabilization of time-varying nonlinear control systems , Asian J. Control , 7 , 244 -- 255 . Google Scholar CrossRef Search ADS Naser , M. F. M. & Ikhouane , F. ( 2013 ) Consistency of the Duhem model with hysteresis , Math. Probl. Eng. , ID 586130 . Scarciotti , G. , Praly , L. & Astolfi , A. ( 2016 ) Invariance-like theorems and weak convergence properties , IEEE Trans. Automatic Control , 61 , 648 -- 661 . Google Scholar CrossRef Search ADS Schmitt , K. & Thompson , R. ( 1988 ) Nonlinear Analysis and Differential Equations: An Introduction, Lecture Notes . University of Utah, Department of Mathematics . Wu , M.Y. ( 1974 ) A note on stability of linear time-varying systems , IEEE Trans. Automatic Control , 19 , 162 . Google Scholar CrossRef Search ADS Yen , E.H. & Van Der Vaart , H.R. ( 1966 ) On measurable functions, continuous functions and some related concepts . Am. Math. Mon. , 73 , 991 -- 993 . Google Scholar CrossRef Search ADS Footnotes 1  In this paper we avoid the use of the words ‘positive’, ‘negative’, ‘increasing’ and ‘decreasing’ as they mean different things in different books. 2  We say that a function $$f:\mathbb {R}\times \mathbb {R}^{m}\rightarrow \mathbb {R}$$ satisfies a local Lipschitz condition with respect to x if for any compact set $$K\subset \mathbb {R}\times \mathbb {R}^{m}$$, there exists a constant L = L(K) > 0 such that for any $$\left (t,\alpha _{1}\right ),\left (t,\alpha _{2}\right )\in K$$, we have $$\left |\ f\left (t,\alpha _{2}\right )-f\left (t,\alpha _{1}\right )\right |<L\left |\alpha _{1}-\alpha _{2}\right |$$ (Schmitt & Thompson, 1988, p. 66). © The Author(s) 2017. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png IMA Journal of Mathematical Control and Information Oxford University Press

Stability of time-varying systems in the absence of strict Lyapunov functions

IMA Journal of Mathematical Control and Information, Volume Advance Article – Dec 22, 2017
23 pages      /lp/ou_press/stability-of-time-varying-systems-in-the-absence-of-strict-lyapunov-Vn4LxBMmQ5
Publisher
Oxford University Press
ISSN
0265-0754
eISSN
1471-6887
D.O.I.
10.1093/imamci/dnx056
Publisher site
See Article on Publisher Site

Abstract

Abstract When a non-linear system has a strict Lyapunov function, its stability can be studied using standard tools from Lyapunov stability theory. What happens when the strict condition fails? This paper provides an answer to that question using a formulation that does not make use of the specific structure of the system model. This formulation is then applied to the study of the asymptotic stability of some classes of linear and non-linear time-varying systems. 1. Introduction This paper deals with the asymptotic stability of the non-linear time-varying system $$\dot {x}=f(t,x)\!\!\!$$. When this system has a continuously differentiable Lyapunov function V that is strict, standard results from Lyapunov stability theory establish the asymptotic stability of the origin (Bacciotti & Rosier, 2005, Theorem 3.2). The strict condition on the Lyapunov function means that there exists a $$\mathscr {K}$$–function $$\beta :\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ (that is β is continuous and strictly increasing with β(0) = 0) that satisfies $$\dot {V}(t,x) \leqslant -\beta (|x|)$$. What happens when the strict condition does not hold? The following sufficient conditions imply asymptotic stability in the absence of the strict condition on V. The origin is asymptotically stable under the condition that there exists T > 0 such that for all t0, and x0: $$V\left (t_{0}+T,x(t_{0}+T)\right )-V(t_{0},x_{0})\leqslant -\beta (|x_{0}|)$$ (Aeyels & Peuteman, 1998). A strict Lyapunov function can be constructed if we know a Lyapunov function that satisfies $$\dot {V}(t,x) \leqslant -W\left ( q(t),x\right )$$ for some periodic function q and a function W positive definite in x (see Mazenc, 2003). The periodicity condition is weakened in Malisoff & Mazenc (2005). The origin is asymptotically stable if $$\dot {V}(t,x) \leqslant -\beta (|x|)+\gamma (t-t_{0})$$ for some $$\mathscr {L}$$–function $$\gamma :\mathbb {R}\rightarrow \mathbb {R}_{+}$$; that is γ is continuous, non-negative, non-increasing and $$\lim _{t\infty }{\gamma \left (t\right )}=0$$ (see Mu & Cheng, 2005). Using the nested-Matrosov’s theorem, it can be shown that the origin is uniformly globally asymptotically stable if $$\dot {V}(t,x) \leqslant -\beta \left ( \left | f(t,x)\right |\right )$$ where all time derivatives of f are bounded (Loría et al., 2005, Corollary 2). What happens when the Lyapunov function is not strict, and the aforementioned sufficient conditions do not hold? The initial motivation of the present paper was to propose an answer to that question as follows: the origin is asymptotically stable if $$\dot {V}(t,x) \leqslant -h(t) |x|^{b}$$ for some non-negative function h such that $$\int _{0}^{\infty } h(t)\ \textrm {d}t =\infty$$. However, in the process of proving this fact, we realized that this result can be obtained from a more general formulation which can be stated as follows: given a non-negative absolutely continuous function z whose explicit expression is not known, provide sufficient conditions on z so that (1) we have an upper bound on z and (2) we have $$\lim _{t \rightarrow \infty } z(t)=0$$. This formulation is given in Section 3 as Propositions 3.1 and 3.2. These two propositions are applied to the asymptotic stability of non-linear time-varying systems in Section 4. The main result of Section 4 is Theorem 4.1 which provides sufficient conditions for the (global) asymptotic stability of equilibria. Another application to Proposition 3.1 is provided in Section 5 where we derive a new result on the asymptotic stability of perturbed linear systems in Theorem 5.1. The main novelty of the result is that the perturbations are allowed to be unbounded with respect to time. Conclusions are presented in Section 6. 2. Terminology and notations A real number x is said to be strictly positive when x > 0, strictly negative when x < 0, non-positive when x ⩽ 0 and non-negative when x ⩾ 0. A function $$h:\mathbb {R} \rightarrow \mathbb {R}$$ is said to be strictly increasing when t1 < t2 ⇒ h(t1) < h(t2), strictly decreasing when t1 < t2 ⇒ h(t1) > h(t2), non-increasing when t1 < t2 ⇒ h(t1) ≥ h(t2) and non-decreasing when t1 < t2 ⇒ h(t1) ⩽ h(t2).1 The set of non-negative integers is denoted $$\mathbb {N}=\{0,1,\ldots \}$$ and the set of non-negative real numbers is denoted $$\mathbb {R}_{+}=[0,\infty )$$. The Lebesgue measure on $$\mathbb {R}$$ is denoted μ. We say that a subset of $$\mathbb {R}$$ is measurable when it is Lebesgue measurable. Let $$I \subset \mathbb {R}_{+}$$ be an interval, and consider a function $$p:I \rightarrow \mathbb {R}^{l}$$ where l > 0 is an integer. We say that p is measurable when p is (Mμ, B)-measurable where B is the class of Borel sets of $$\mathbb {R}^{l}$$ and Mμ is the class of measurable sets of $$\mathbb {R}_{+}$$ (see Yen & Van Der Vaart, 1966). For a measurable function $$p:I \rightarrow \mathbb {R}^{l}$$, ∥p∥I denotes the essential supremum of the function |p| on I where |⋅| is the Euclidean norm on $$\mathbb {R}^{l}$$. When $$I=\mathbb {R}_{+}$$, this essential supremum is denoted ∥p∥. $$C^{0}(\mathbb {R},\mathbb {R}^{n})$$ denotes the Banach space of continuous functions $$u:\mathbb {R} \rightarrow \mathbb {R}^{n}$$ endowed with the uniform convergence norm ∥⋅∥. For each open interval $$I\subset \mathbb {R}$$, the set of all continuously differentiable functions $$u:I\rightarrow \mathbb {R}^{n}$$ is denoted $$C^{1}(I,\mathbb {R}^{n})$$. 3. Stability results The main results of this section are Propositions 3.1 and 3.2 which provide an answer to the following question: consider an absolutely continuous function z ≥ 0; if we do not have the explicit expression of z, what kind of knowledge do we need in order to (1) establish an upper bound on z and (2) show that $$\lim _{t \rightarrow \infty } z(t)=0$$? The sufficient conditions provided in Propositions 3.1 and 3.2 generalize the following lemma from Naser & Ikhouane (2013). Lemma 3.1 (Naser & Ikhouane, 2013, Lemma 17) Consider a function $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ where $$t_{0}\in \mathbb {R}$$ and $$t_{0}<\omega \leqslant \infty$$. Assume that Conditions (i)–(ii) hold. The function z is absolutely continuous on each compact interval of [t0, ω). There exist z1 ⩾ 0 and z2 > 0 such that z1< z2, $$z\left (t_{0}\right )\!\!<z_{2}$$ and $$\dot {z}\left (t\right )\leqslant 0$$ for almost all $$t\in \left (t_{0},\omega \right )$$ that satisfy $$z_{1}<z\left (t\right )<z_{2}$$. Then $$z\left (t\right )\leq \max {\left (z\left (t_{0}\right ),z_{1}\right )},\;\forall t\in [t_{0},\omega )$$. Proposition 3.1 Consider a function $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ where $$t_{0}\in \mathbb {R}$$ and $$t_{0}<\omega \leq \infty$$. Assume that Conditions (i)–(iii) hold. The function z is absolutely continuous on each compact interval of [t0, ω). There exist functions $$\varphi ,\psi :[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ such that (ii)–1 both φ and ψ are absolutely continuous on each compact interval of [t0, ω), (ii)–2 and Inequalities (3.1)–(3.2) hold, \begin{align} \varphi\left(t\right)<\psi\left(t\right), \quad \forall t\in[t_{0},\omega), \end{align} (3.1) \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant \dot{\varphi}\left(t\right),&\textrm{ for almost all }\ t\in\left(t_{0},\omega\right)\\ & \textrm{ that satisfy }\ \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right). \end{aligned} \end{align} (3.2) $$z\left (t_{0}\right )\leqslant \varphi \left (t_{0}\right )$$. Then \begin{align} z\left(t\right)\leqslant\varphi\left(t\right),\quad \forall t\in[t_{0},\omega). \end{align} (3.3) Furthermore, if φ is non-increasing and \begin{align} \dot{z}\left(t\right)\leqslant0,\textrm{for almost all}\ t\in\left(t_{0},\omega\right)\textrm{that satisfy}\ z\left(t\right)<\varphi\left(t\right), \end{align} (3.4) then \begin{align} z\left(t\right)\leqslant\min{\left(z\left(t_{0}\right),\varphi\left(t\right)\right)}, \quad \forall t\in[t_{0},\omega). \end{align} (3.5) Proof. The aim of the following analysis is to prove that Inequality (3.3) holds. To this end, we use an argument by contradiction. Assume that there exists some $$t_{1}\in \left (t_{0},\omega \right )$$ such that $$z\left (t_{1}\right )>\varphi \left (t_{1}\right )$$. Consider the set $$C=\left \{ \tau \in [t_{0},\omega )/\; z\left (t\right )\leqslant \varphi \left (t\right )\textrm {for all}\ t\in \left [t_{0},\tau \right ]\right \}$$. The set C is non-empty because t0 ∈ C. Define $$t_{2}=\sup \, C$$. Observe that $$t_{2}\leqslant t_{1}<\infty$$ because otherwise we have t1 ∈ C which contradicts the fact that z(t1) > φ(t1). By the definition of t2, there exists a real sequence $$\left \{ \tau _{n} \in C \right \}_{n=1}^{\infty }$$ such that $$\lim _{n \rightarrow \infty }\tau _{n} = t_{2}$$. The continuity of functions z and φ implies that $$z\left (t_{2}\right )=\lim _{n\rightarrow \infty }z\left (\tau _{n}\right )\leqslant \lim _{n\rightarrow \infty }\varphi \left (\tau _{n}\right )=\varphi \left (t_{2}\right )$$. This fact implies that t2 ∈ C leading to t2 < t1. Also, there exists a real sequence $$\left \{ \tau ^{\,\prime }_{n}>t_{2}\right \}_{n=1}^{\infty }$$ such that $$z\left (\tau _{n}^{\,\prime }\right )>\varphi \left (\tau _{n}^{\,\prime }\right )\textrm {for all}\ n\in \mathbb {N}$$ and $$\lim _{n \rightarrow \infty }\tau ^{\,\prime }_{n} = t_{2}$$. Since z and φ are continuous we get $$z\left (t_{2}\right )\geq \varphi \left (t_{2}\right )$$ which leads to $$z\left (t_{2}\right )=\varphi \left (t_{2}\right )$$. Let $$D=\left \{ t\in \left [t_{2},t_{1}\right ]/\; z\left (t\right )=\varphi \left (t\right )\right \}$$. The set D is non-empty because t2 ∈ D. Define $$t_{3}=\sup \, D$$, then using a similar argument as above we get t3 ∈ D which implies that $$z(t_{3})=\varphi \left (t_{3}\right )$$ and t3 < t1. □ Claim 1. For all $$t_{3}<t\leqslant t_{1}, z\left (t\right )>\varphi \left (t\right ).$$ Proof. To prove the claim, we use an argument by contradiction. Assume that there exists t4 ∈ (t3, t1] such that $$z\left (t_{4}\right )\leqslant \varphi \left (t_{4}\right )$$. By the definition of t3, we get $$z\left (t_{4}\right )<\varphi \left (t_{4}\right )$$. Define the function $$z_{1}:[t_{0},\omega )\rightarrow \mathbb {R}$$ as $$z_{1}\left (t\right )=z\left (t\right )-\varphi \left (t\right ),\textrm {for all}\ t\in [t_{0},\omega )$$. The function z1 is continuous and satisfies $$z_{1}\left (t_{4}\right )<0$$ and $$z_{1}\left (t_{1}\right )>0$$. Thus, we conclude from the Intermediate Value Theorem that there exists some $$t_{5}\in \left (t_{4},t_{1}\right )$$ such that $$z_{1}\left (t_{5}\right )=0$$ so that $$z\left (t_{5}\right )=\varphi \left (t_{5}\right )$$ which implies that t5 ∈ D. This is not possible since t5 > t3. The proof of Claim 1 has been completed. Let $$E=\left \{ t\in (t_{3},t_{1}]/\; z\left (t\right )=\psi \left (t\right )\right \}$$. Define \begin{align*} t_{6}=\begin{cases} t_{1} & \textrm{ if }\ E=\emptyset\\ \inf{E} & \textrm{ if }\ E\neq\emptyset. \end{cases}\end{align*} □ Claim 2.$$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. Proof. If E = ∅, then t6 = t1 and thus $$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. If E ≠ ∅, then $$t_{6}=\inf {E}$$ and thus the continuity of z and ψ implies that t6 ∈ E, so that $$z\left (t_{6}\right )=\psi \left (t_{6}\right )$$ and hence we get from (3.1) that $$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. Thus, in all cases we have $$z\left (t_{6}\right )>\varphi \left (t_{6}\right )$$. □ Claim 3.$$z\left (t\right )<\psi \left (t\right ),\;\textrm {for all}\ t_{3}<t<t_{6}$$. Proof. If E = ∅, then t6 = t1. We need to show that $$z\left (t\right )<\psi \left (t\right ),\textrm {for all}\ t_{3}<t<t_{6}$$. To this end, assume that there exists $$t^{\prime }_{6}\in \left (t_{3},t_{6}\right )$$ such that $$z\left (t^{\prime }_{6}\right )\geq \psi \left (t^{\prime }_{6}\right )$$. Since E = ∅, we have $$z\left (t^{\prime }_{6}\right )>\psi \left (t^{\prime }_{6}\right )$$. Thus, we deduce by Inequality (3.1) and the fact $$z(t_{3})=\varphi \left (t_{3}\right )$$ that \begin{align*} z_{1}\left(t^{\prime}_{6}\right)>0=z\left(t_{3}\right)-\varphi\left(t_{3}\right)>z\left(t_{3}\right)-\psi\left(t_{3}\right)=z_{1}\left(t_{3}\right)\!,\end{align*} where $$z_{1}\left (\cdot \right )=z\left (\cdot \right )-\psi \left (\cdot \right )$$. Therefore, by applying the Intermediate Value Theorem on the continuous function $$z_{1}\left (\cdot \right )$$ and on the interval $$\left [t_{3},t^{\prime }_{6}\right ]$$, we deduce that E ≠ ∅ which is a contradiction. This proves that $$z\left (t\right )<\psi \left (t\right ),\textrm {for all} t_{3}<t<t_{6}$$. If E ≠ ∅, it can be shown by the continuity of z and ψ that $$t_{6}=\inf {E}\in E$$ so that $$z\left (t_{6}\right )=\psi \left (t_{6}\right )$$. We need to show that $$z\left (t\right )<\psi \left (t\right ),\textrm {for all}\ t_{3}<t<t_{6}$$. To this end, assume that there exists $$t^{\prime \prime }_{6}\in \left (t_{3},t_{6}\right )$$ such that $$z\left (t^{\prime \prime }_{6}\right )\geqslant \psi \left (t^{\prime \prime }_{6}\right )$$. Since $$t_{6}=\inf {E}$$, we have $$z\left (t^{\prime \prime }_{6}\right )>\psi \left (t^{\prime \prime }_{6}\right )$$. Thus, we deduce by Inequality (3.1) and the fact $$z(t_{3})=\varphi \left (t_{3}\right )$$ that \begin{align*} z_{1}\left(t^{\prime\prime}_{6}\right)>0=z\left(t_{3}\right)-\varphi\left(t_{3}\right)>z\left(t_{3}\right)-\psi\left(t_{3}\right)=z_{1}\left(t_{3}\right)\!,\end{align*} where $$z_{1}\left (\cdot \right )=z\left (\cdot \right )-\psi \left (\cdot \right )$$. Therefore, by applying the Intermediate Value Theorem on the continuous function $$z_{1}\left (\cdot \right )$$ and on the interval $$\left [t_{3},t^{\prime \prime }_{6}\right ]$$, we deduce that there exists $$t^{\prime \prime \prime }_{6}\in \left (t_{3},t^{\prime \prime }_{6}\right )$$ such that $$z_{1}\left (t^{\prime \prime \prime }_{6}\right )=0$$ so that $$z\left (t^{\prime \prime \prime }_{6}\right )=\psi \left (t^{\prime \prime \prime }_{6}\right )$$. This contradicts the facts that $$t_{6}=\inf {E}$$ and $$t_{3}<t^{\prime \prime \prime }_{6}<t^{\prime \prime }_{6}<t_{6}$$ and thus $$z\left (t\right )<\psi \left (t\right ),\textrm {for all}\ t_{3}<t<t_{6}$$. This end the proof of Claim 3. □ Since t3 < t6 ⩽ t1, we get from Claims 1 and 3 that \begin{align} \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right),\quad \forall t_{3}<t<t_{6}. \end{align} (3.6) Thus, we obtain by (3.2) that $$\dot {z}\left (t\right )\leqslant \dot {\varphi }\left (t\right ),\textrm {for almost all}t\in \left (t_{3},t_{6}\right )$$. Hence, the absolute continuity of functions z and φ leads to $$z\left (t_{6}\right )-z\left (t_{3}\right )=\int _{t_{3}}^{t_{6}}\dot {z}\left (\tau \right )\ \textrm {d}\tau \leqslant \int _{t_{3}}^{t_{6}}\dot {\varphi }\left (\tau \right )\ \textrm {d}\tau =\varphi \left (t_{6}\right )-\varphi \left (t_{3}\right )$$ and thus we obtain by the fact $$z\left (t_{3}\right )=\varphi \left (t_{3}\right )$$ that $$z\left (t_{6}\right )\leqslant \varphi \left (t_{6}\right )$$ which contradicts Claim 2. As a summary, we have proved that \begin{align} z\left(t\right)\leqslant\varphi\left(t\right),\quad \forall t\in[t_{0},\omega), \end{align} (3.7) which proves (3.3). We need to prove that Inequality (3.5) is true whenever (3.4) is satisfied and φ is non-increasing. To this end, we prove that $$z\left (t\right )\leqslant z\left (t_{0}\right ),\textrm {for all}\ t\in [t_{0},\omega )$$ for both situations $$z\left (t_{0}\right )=\varphi \left (t_{0}\right )$$ and $$z\left (t_{0}\right )<\varphi \left (t_{0}\right )$$. If $$z\left (t_{0}\right )=\varphi \left (t_{0}\right )$$, then since φ is non-increasing, we obtain from (3.7) that \begin{align*} z\left(t\right)\leqslant\varphi\left(t\right)\leqslant\varphi\left(t_{0}\right)=z\left(t_{0}\right),\ \textrm{for all}\ t\in[t_{0},\omega),\end{align*} which means that (3.5) is satisfied. If $$z\left (t_{0}\right )<\varphi \left (t_{0}\right )$$, suppose that there exists t7 ∈ (t0, ω) such that $$z\left (t_{7}\right )>z\left (t_{0}\right )$$. Then $$\varphi \left (t_{0}\right )>0$$ (because if $$\varphi \left (t_{0}\right )=0$$, then $$z\left (t_{0}\right )<0$$ which is a contradiction). Let $$S=\left \{ t\in (t_{0},t_{7}]/\, z\left (t\right )=\varphi \left (t\right )\right \}$$. We now show that S cannot be empty. To this end, assume that S = ∅. Using (3.7) and the continuity of z and φ, a simple contradiction argument proves that $$z\left (t\right )<\varphi \left (t\right )\textrm {for all}\ t\in [t_{0},t_{7})$$. Hence, we obtain from (3.4) that $$z\left (t_{7}\right )-z\left (t_{0}\right )=\int _{t_{0}}^{t_{7}}\dot {z}\left (\tau \right )\ \textrm {d}\tau \leqslant 0$$ so that $$z\left (t_{7}\right )\leqslant z\left (t_{0}\right )$$. This contradicts the assumption $$z\left (t_{7}\right )>z\left (t_{0}\right )$$. Thus, S ≠ ∅. Let $$t_{8}=\inf {S}$$. Using (3.7) and the continuity of z and φ, a simple contradiction argument proves that t0 < t8 ⩽ t7 and $$z\left (t\right )<\varphi \left (t\right )\textrm {for all}\ t\in [t_{0},t_{8})$$. Hence, we obtain from (3.4) that $$z\left (t_{8}\right )-z\left (t_{0}\right )=\int _{t_{0}}^{t_{8}}\dot {z}\left (\tau \right ) \textrm {d}\tau \leqslant 0$$ so that \begin{align} z\left(t_{8}\right)\leqslant z\left(t_{0}\right). \end{align} (3.8) The continuity of the functions z and φ implies that $$t_{8}=\inf {S}\in S$$ so that $$z\left (t_{8}\right )=\varphi \left (t_{8}\right )$$. Therefore, since φ is non-increasing and t0 < t8 ⩽ t7, we get from (3.7) that \begin{align*} z\left(t_{8}\right)=\varphi\left(t_{8}\right)\geqslant\varphi\left(t_{7}\right)\geqslant z\left(t_{7}\right)>z\left(t_{0}\right)\!,\end{align*} which contradicts (3.8). Thus, Inequality (3.5) is satisfied and the proof has been completed. Proposition 3.2 Consider a function $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ where $$t_{0}\in \mathbb {R}$$ and $$t_{0}<\omega \leqslant \infty$$. Assume that Conditions (i)–(iii) hold. The function z is absolutely continuous on each compact interval of [t0, ω). There exist functions $$\varphi ,\psi :[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ such that (ii) –1 both φ and ψ are absolutely continuous on each compact interval of [t0, ω), (ii) –2 and Inequalities (3.9)–(3.10) hold, \begin{align} \varphi\left(t\right)<\psi\left(t\right),\quad \forall t\in[t_{0},\omega), \end{align} (3.9) \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant \dot{\psi}\left(t\right),&\textrm{ for almost all }t\in\left(t_{0},\omega\right)\\ & \textrm{ that satisfy }\varphi\left(t\right)<z\left(t\right)<\psi\left(t\right). \end{aligned} \end{align} (3.10) $$z\left (t_{0}\right )\in \left (\varphi \left (t_{0}\right ),\psi \left (t_{0}\right )\right )$$. Then \begin{align} z\left(t\right)<\psi\left(t\right),\quad\forall t\in[t_{0},\omega). \end{align} (3.11) Assume furthermore that $$\omega =\infty$$ and that there exist a measurable function $$q:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ and a non-decreasing measurable function $$H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ such that Equations (3.12)–(3.14) hold. \begin{align} H\left(0\right)=0\ \textrm{and}\ H\left(v\right)>0,\forall v>0, \end{align} (3.12) \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant -q\left(t\right)\, H\left(z\left(t\right)\right),&\textrm{ for almost all }t\in\left(t_{0},\infty\right)\\ & \textrm{ that satisfy }\varphi\left(t\right)<z\left(t\right)<\psi\left(t\right), \end{aligned} \end{align} (3.13) \begin{align} \lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}q\left(\tau\right)\ \textrm{d}\tau=\infty. \end{align} (3.14) Then (a) and (b) hold. If $$L=\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$, we have $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. If $$L=\lim _{t\rightarrow \infty }\varphi \left (t\right )$$ does not exist, is infinite, or exists with L > 0, then there exists $$T\in \left (t_{0},\omega \right )$$ such that \begin{align} \begin{aligned} \varphi\left(t\right)< z\left(t\right) & \leqslant z\left(t_{0}\right),\quad\forall t\in[t_{0},T),\\ z\left(T\right) & =\varphi\left(T\right),\\ z\left(t\right) & \leqslant\varphi\left(t\right),\quad\forall t\in\left(T,\infty\right). \end{aligned} \end{align} (3.15) Proof. The aim of the following analysis is to prove Inequality (3.11). To this end, consider the set $$B=\left \{ t\in \left (t_{0},\omega \right )/\, z\left (t\right )=\varphi \left (t\right )\right \}$$. If B = ∅, assume that there exists $$t_{1}\in \left (t_{0},\omega \right )$$ with $$z\left (t_{1}\right )\geqslant \psi \left (t_{1}\right )$$. Let $$J=\left \{ t\in \left (t_{0},\omega \right )/\, z\left (t\right )=\psi \left (t\right )\right \}$$. Using Intermediate Value Theorem, it can be verified that J ≠ ∅. Let $$t_{2}=\inf {J}$$. Then for all t ∈ [t0, t2) we have $$z(t)<\psi \left (t\right )$$. One can use the Intermediate Value Theorem to prove that $$\varphi \left (t\right )<z(t), \textrm {for all}\ t \in [t_{0},t_{2})$$. These facts along with (3.10) imply that for almost all t ∈ (t0, t2) we have $$\dot {z}(t)\leqslant \dot {\psi }\left (t\right )$$. Since z and ψ are absolutely continuous, it follows that $$z(t_{2})-z(t_{0})=\int _{t_{0}}^{t_{2}}\dot {z}(\tau )\ \textrm {d} \tau \leqslant \int _{t_{0}}^{t_{2}}\dot {\psi }(\tau )\, \textrm {d}\tau =\psi \left (t_{2}\right )-\psi (t_{0})$$. This contradicts the facts that $$z\left (t_{2}\right ) =\psi \left (t_{2}\right )$$ and $$\psi \left (t_{0}\right )>z\left (t_{0}\right )$$ and thus \begin{align*} z(t)<\psi(t),\quad\forall t\in[t_{0},\omega)\ \textrm{whenever}\ B=\emptyset.\end{align*} If B ≠ ∅, then $$t_{3}=\inf {B}\in B$$ because of the continuity of z and φ. Thus, seeing t3 as an initial time, and $$\varphi \left (t_{3}\right )$$ as an initial condition, it follows from Proposition 3.1 that for all t ∈ [t3, ω) we have $$z(t)\leqslant \varphi \left (t\right )$$. Using the same analysis used for B = ∅, it can be shown that z(t) < ψ(t) for all t ∈ [t0, t3). We summarize the previous results as \begin{align*} \begin{cases} z(t)<\psi(t) & \forall t\in[t_{0},t_{3})\\ z(t)\leqslant\varphi\left(t\right) & \forall t\in[t_{3},\omega) \end{cases}\quad\textrm{whenever}\ B\neq\emptyset\end{align*} and thus Inequality (3.9) implies that z(t) < ψ(t) for all t ∈ [t0, ω), whenever B≠∅. We conclude that, in both situations B = ∅ and B ≠ ∅, Inequality (3.11) is satisfied. To complete the proof assume that $$\omega =\infty$$ and that there exist a measurable function $$q:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ and a non-decreasing measurable function $$H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ for which (3.12), (3.13) and (3.14) are satisfied. Let $$A=\left \{ t\in [t_{0},\infty )/\; z\left (t\right )=\varphi \left (t\right )\right \}$$. □ Claim 1. If A = ∅, then $$\lim _{t\rightarrow \infty }z\left (t\right )=\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$. Proof. Since A = ∅, Inequality (3.11) and a simple contradiction argument prove that \begin{align} \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right),\ \quad\forall t\in[t_{0},\infty). \end{align} (3.16) Thus, we obtain from (3.13) that $$\dot {z}\left (t\right )\leqslant 0$$ for almost all $$t\in (t_{0},\infty )$$ because the functions q and H are non-negative. Thus, z is non-increasing on $$[t_{0},\infty )$$ so that $$\lim _{t\rightarrow \infty }z\left (t\right )=L_{*}$$ exists with $$z\left (t\right )\geqslant L_{*}\geqslant 0$$ for all $$t\in [t_{0},\infty )$$. □ If L* > 0 then, from (3.16), (3.13) and for all $$t\in [t_{0},\infty ), z\left (t\right )\geqslant L_{*}$$, it follows that \begin{align*} \dot{z}\left(t\right)\leqslant-\varepsilon\, q\left(t\right),\textrm{for almost all}\ t\in\left(t_{0},\infty\right)\!,\end{align*} where $$\varepsilon =H\left (L_{*}\right )$$ is strictly positive because of (3.12). Thus, the Fundamental Theorem of Calculus implies that \begin{align*} z\left(t\right)=z\left(t_{0}\right)+\int\limits_{t_{0}}^{t}\dot{z}\left(\tau\right)\ \textrm{d}\tau\leqslant z\left(t_{0}\right)-\varepsilon\int\limits_{t_{0}}^{t}q\left(t\right),\ \quad\forall t\in[t_{0},\infty),\end{align*} which leads to $$\lim _{t\rightarrow \infty }z\left (t\right )=-\infty$$ because of (3.14). This contradiction proves that $$L_{*}=\lim _{t\rightarrow \infty }z\left (t\right )=0$$ and thus we obtain from (3.16) that $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$. This finishes the proof of Claim 1. Claim 2. If A ≠ ∅, then there exists $$T\in \left (t_{0},\omega \right )$$ such that (3.15) is satisfied. Proof. The continuity of z and φ implies that $$T=\inf {A}\in A$$ so that $$z\left (T\right )=\varphi \left (T\right )$$. It can be easily verified using (3.13) and (3.11) that $$\varphi \left (t\right )<z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ∈ [t0, T). Now, seeing T as an initial time and $$\varphi \left (T\right )$$ as an initial condition, we obtain from Proposition 3.1 that $$z\left (t\right )\leqslant \varphi \left (t\right )$$ for all $$t\in \left (T,\infty \right )$$. Therefore, (3.15) is satisfied. If $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$, we deduce from Claims 1 and 2 that $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Otherwise, we get from Claim 1 that A ≠ ∅ and thus (3.15) is satisfied because of Claim 2. This completes the proof. □ The following corollary provides sufficient conditions to get $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Corollary 3.1 Suppose that Conditions (a)–(e) hold. Conditions (i) and (ii) of Propositions 3.1 and 3.2 are satisfied, $$\omega =\infty$$, $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=0$$, $$z\left (t_{0}\right )<\psi \left (t_{0}\right )$$, there exist a measurable function $$q:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ and a non-decreasing measurable function $$H:\mathbb {R}_{+}\rightarrow \mathbb {R}_{+}$$ for which Equations (3.12), (3.13) and (3.14) are satisfied. Then $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Proof. The result follows by considering the cases $$z\left (t_{0}\right )\leqslant \varphi \left (t_{0}\right )$$ and $$z\left (t_{0}\right )\in \left (\varphi \left (t_{0}\right ),\psi \left (t_{0}\right )\right )$$ along with Propositions 3.1 and 3.2, respectively. □ Remark In Scarciotti et al. (2016), an attractiveness result is obtained using a different formulation and with different assumptions. It roughly says that when the derivative of some function is less than the sum of a negative function of the state and a ‘small’—in some sense—function of the state, we get some kind of asymptotic convergence of the state to zero. This result is not directly related to Propositions 3.1 and 3.2 because the right-hand side of Inequality (3.13) contains two separate parts: a term that depends on the state and another that depends on time. 4. Asymptotic stability of a class of non-linear time-varying systems The aim of this section is to study the asymptotic stability of system (4.1)–(4.2) \begin{equation} \dot{x}(t) = f\left(t,x(t)\right),\; t \in\mathbb{R}_{+}, \end{equation} (4.1) \begin{equation} {\hskip-69pt}x(t_{0}) = x_{0}, \end{equation} (4.2) where $$(t_{0},x_{0}) \in \mathbb {R}_{+} \times \mathbb {R}^{m}$$, state x(t) take values in $$\mathbb {R}^{m}$$ for some strictly positive integer m, and function $$f:[t_{0},\infty )\times \mathbb {R}^{m}\rightarrow \mathbb {R}^{m}$$ is well-defined. Section 4.1 presents a brief summary of the results provided in Bacciotti & Rosier (2005) regarding the existence of solutions of the differential equation (4.1)–(4.2). In Section 4.2 we present the stability definitions that are used throughout the paper. Section 4.3 gives sufficient conditions for the asymptotic stability of the system (4.1). 4.1. Carathéodory solutions The following set of assumptions for (4.1)–(4.2) is considered in (Bacciotti & Rosier, 2005, Section 1.1). (A1) The function f(t, x) is locally essentially bounded on $$\mathbb {R}_{+} \times \mathbb {R}^{m}$$, (A2) for each $$x \in \mathbb {R}^{m}$$, the function t ↦ f(t, x) is measurable, (A3) for almost all $$t \in \mathbb {R}_{+}$$, the function x ↦ f(t, x) is continuous. A function x is called a local Carathéodory solution of (4.1)–(4.2) on the interval $$I \subset \mathbb {R}_{+}$$ if t0 ∈ I, the function x is absolutely continuous on every compact subinterval of I and satisfies \begin{equation} \dot{x}(t) = f\left(t,x(t)\right), \textrm{ for almost all } t \in I, \end{equation} (4.3) \begin{equation} {\hskip-115pt}x(t_{0}) = x_{0}. \end{equation} (4.4) Carathéodory’s Theorem states that if Assumptions (A1)–(A3) hold then for each initial pair $$(t_{0},x_{0}) \in \mathbb {R}_{+} \times \mathbb {R}^{m}$$, then there exists an interval $$I \subset \mathbb {R}_{+}$$ with t0 ∈ I such that a local Carathéodory solution (4.3)–(4.4) exists on I. If the function f is continuous on $$\mathbb {R}_{+} \times \mathbb {R}^{m}$$ then Assumptions (A1)–(A3) are satisfied. By Peano’s Theorem it follows that a classical solution x of (4.1)–(4.2) exists on some interval $$t_{0} \in I \subset \mathbb {R}_{+}$$. The term ‘classical’ means that x is of class C1 and \begin{equation} \dot{x}(t) = f\left(t,x(t)\right), \quad\forall t \in I, \end{equation} (4.5) \begin{equation} {\hskip-72pt} x(t_{0}) = x_{0}. \end{equation} (4.6) 4.2. Stability definitions In this section and in the remaining sections we assume that Assumptions (A1)–(A3) hold so that at least one local Carathéodory solution (4.3)–(4.4) exists on some interval $$t_{0} \in I \subset \mathbb {R}_{+}$$. Definition 4.1 (Bacciotti & Rosier, 2005, p.79) The point x = 0 of the system (4.1) is said to be an equilibrium point if $$f\left (t,0\right )=0$$ for almost all t ≥ 0, locally attractive if for each $$t_{0}\in \mathbb {R}_{+}$$, there exists c > 0 such that if $$\left |x_{0}\right |<c$$, then each solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ with $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$, globally attractive if for all $$t_{0}\in \mathbb {R}_{+}$$ and all $$x_{0}\in \mathbb {R}^{m}$$, each solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ with $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$, stable if for any $$t_{0}\in \mathbb {R}_{+}$$ and any ε > 0, there is c > 0 such that if $$\left |x_{0}\right |<c$$ then each solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ and \begin{align*} \left|x\left(t\right)\right|<\varepsilon,\quad\forall t\geqslant t_{0},\end{align*} uniformly stable if for any ε > 0, there is c > 0 such that for each $$t_{0}\in \mathbb {R}_{+}$$ and each $$\left |x_{0}\right |<c$$, every solution x of (4.1)–(4.2) is continuable on $$[t_{0},\infty )$$ and \begin{align*} \left|x\left(t\right)\right|<\varepsilon,\quad\forall t\geqslant t_{0},\end{align*} asymptotically stable if it is stable and locally attractive, globally asymptotically stable if it is stable and globally attractive. 4.3. Sufficient conditions for the asymptotic stability In this section we use Propositions 3.1 and 3.2 to study the asymptotic stability of the system (4.1)–(4.2). The main result is given in Theorem 4.1. For any $$t_{0} \in \mathbb {R}$$ define the set \begin{align*} \Omega_{2}(t_{0})=\left\{ h:\mathbb{R}\rightarrow\mathbb{R}_{+}/\:h\textrm{is Lebesgue measurable with}\int\limits_{t_{0}}^{\infty}h(s)\ \textrm{d}s=\infty\right\}.\end{align*} Theorem 4.1 Consider the system (4.1)–(4.2) for which Assumptions (A1)–(A3) are satisfied. Assume that Conditions (i)–(ii) hold. The origin x = 0 is an equilibrium point for the system (4.1). There exists a function h ∈ Ω2(t0) such that for each solution x of (4.1)–(4.2) with maximal interval of existence [t0, ω) there exist positive constants δ, a, b, k1, k2 and a function $$V\in C^{1}\left (\mathbb {R}\times \mathbb {R}^{m},\mathbb {R}_{+}\right )$$, satisfying \begin{align} k_{1}\left|\alpha\right|^{a}\leqslant V\left(t,\alpha\right)\leqslant k_{2}\left|\alpha\right|^{a},\quad\forall t\in[t_{0},\omega),\quad\forall\alpha\in\mathbb{R}^{m}, \end{align} (4.7) \begin{align} \left.\frac{\partial V\left(t,\alpha\right)}{\partial t}\right|_{\alpha=x\left(t\right)}+\left.\frac{\partial V\left(t,\alpha\right)}{\partial\alpha}\right|_{\alpha=x\left(t\right)}\cdot f\left(t,x\left(t\right)\right)\leqslant-h\left(t\right)\left|x\left(t\right)\right|^{b}, \end{align} (4.8) for almost all t ∈ (t0, ω) that satisfy $$\left |x\left (t\right )\right |<\delta$$. Then all solutions of (4.1)–(4.2) are defined on $$[t_{0},\infty )$$ for any initial condition $$\left |x_{0}\right |<\sqrt [a]{\frac {k_{1}}{k_{2}}}\delta$$; moreover, the origin x = 0 is uniformly stable and asymptotically stable. Additionally, if Inequality (4.8) is satisfied for $$\delta =\infty$$ then x = 0 is globally asymptotically stable. Before giving the proof of Theorem 4.1 we compare it to the results obtained in Malisoff & Mazenc (2005). That reference considers systems of the form $$\dot {x}=f\left (x,u\right )$$ in which u is the input, and x(t0) = x0 is the initial condition. Consider the set \begin{align*} \varOmega_{1}(t_{0})=\left\{ h\in C^{0}\left(\mathbb{R},\mathbb{R}_{+}\right)/\:\exists{\tau},{\varepsilon},{\bar{h}}>0 \textrm{satisfying}\int\limits_{t-\tau}^{t}h(s)\ \textrm{d}s\geqslant\varepsilon \ \textrm{and}\ h\left(t\right)\leqslant\bar{h}\textrm{,}\quad\forall t\geqslant t_{0}\right\}\!\!. \end{align*} If there exists a C1 Lyapunov function V such that $$\frac {d}{dt}V\left (t,x(t),u(t)\right )\leqslant -h(t)\beta _{1}\left (\left |x(t)\right |\right )$$ for almost all t > t0 with $$\left |x(t)\right |\geqslant \beta _{2}\left (|u(t)|\right )$$ for some h ∈ Ω1, $$\beta _{1}\in \mathscr {K}_{\infty }\cap C^{1}$$ and some $$\beta _{2}\in \mathscr {K}_{\infty }$$, then the system is input-to-state stable (see Definition 1 and Theorem 5 in Malisoff & Mazenc (2005)). Any continuous periodic function that is not identically zero belongs to the set Ω1. Additionally, there are non-periodic functions that belong to Ω1 (Malisoff & Mazenc, 2005, p. 3). The contribution of Theorem 4.1 is to provide sufficient conditions for the asymptotic stability of (4.1)–(4.2) for functions h that belong to the set Ω2 which is larger than Ω1. Proposition 4.1 Ω1 ⊂ Ω2 and Ω2∖Ω1 is non-empty. Proof. To prove that Ω1 ⊂ Ω2, assume that there exists a function $$h:\mathbb {R}\rightarrow \mathbb {R}_{+}$$ such that h ∈ Ω1 and h ∉ Ω2. Since h ∈ Ω1, then h is continuous (and hence Lebesgue measurable) and there exist τ > 0 and there exists ε > 0 such that $$\int _{t-\tau }^{t}h(s)\ \textrm {d}s\geqslant \varepsilon \ \textrm {for all} \ t\geqslant t_{0}$$. On the other hand, since h ∉ Ω2, then $$\int _{t_{0}}^{\infty }h(s)\ \textrm {d}s\neq \infty$$. Thus, $$\int _{t_{0}}^{\infty }h(s)\ \textrm {d}s=w\in \mathbb {R}_{+}$$ since h ≥ 0. On the other hand, we conclude by the inequality $$\int _{t-\tau }^{t}h(s)\ \textrm {d}s\geqslant \varepsilon \ \textrm {for all}\ t\geqslant t_{0}$$ that $$\int _{t-\tau }^{t_{0}}h(s)\ \textrm {d}s+\int _{t_{0}}^{t}h(s)\ \textrm {d}s\geqslant \varepsilon$$ for all t ≥ t0. Taking $$t\rightarrow \infty$$ leads to the contradiction − w + w = 0 ⩾ ε. Therefore, Ω1 ⊂ Ω2. To prove that Ω2∖Ω1 is non-empty, consider the continuous function $$h:\mathbb {R}\rightarrow \mathbb {R}$$ defined by $$h(t)=\frac {1}{t+1}$$ for all t ≥ t0 and $$h(t)=\frac {1}{t_{0}+1}$$ for all t ≤ t0. Then $$\int _{t_{0}}^{\infty }h(s)\ \textrm {d}s=\infty$$ so that h ∈ Ω2. Suppose that there exist τ > 0 and ε > 0 such that for all t ≥ t0 + τ, $$\int _{t-\tau }^{t}h(s)\ \textrm {d}s=\ln {\left (\frac {t+1}{t-\tau +1}\right )}\geqslant \varepsilon$$. Taking $$t\rightarrow \infty$$ leads to a contradiction which shows that h ∈ Ω2∖Ω1. Another example is $$h:\mathbb {R}\rightarrow \mathbb {R}$$ defined by h(t) = t for all $$t \in \mathbb {R}$$ which is in Ω2∖Ω1. □ We now present the proof of Theorem 4.1. Proof of Theorem 4.1. Let x be a solution of (4.1)–(4.2) with maximal interval of existence [t0, ω). Define $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ as $$z\left (t\right )=V\left (t,x\left (t\right )\right )$$ for all t ∈ [t0, ω). Since x is absolutely continuous and V is continuously differentiable, the function z is absolutely continuous on each compact interval of [t0, ω). Therefore, Condition (i) of Lemma 3.1 is satisfied. We get from (4.8) and (4.7) that \begin{align*} \dot{z}\left(t\right)=\left.\frac{\partial V\left(t,\alpha\right)}{\partial t}\right|_{\alpha=x\left(t\right)}+\left.\frac{\partial V\left(t,\alpha\right)}{\partial\alpha}\right|_{\alpha=x\left(t\right)}\cdot f\left(t,x\left(t\right)\right)\leqslant0\end{align*} for almost all t ∈ (t0, ω) that satisfy $$0<z\left (t\right )<k_{1}\delta ^{a}$$. Thus, Condition (ii) of Lemma 3.1 is satisfied with z1 = 0 and z2 = k1δa. It follows from Lemma 3.1 that if $$z\left (t_{0}\right )<z_{2}=k_{1}\delta ^{a}$$ then $$z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ∈ [t0, ω). This fact combined with Inequalities (4.7) leads to \begin{align*} \left|x\left(t\right)\right|\leqslant\sqrt[a]{\frac{k_{2}}{k_{1}}}\left|x_{0}\right|,\quad\forall t\in[t_{0},\omega)\textrm{ whenever }\left|x_{0}\right|<\sqrt[a]{\frac{k_{1}}{k_{2}}}\:\delta.\end{align*} It also follows that $$\omega =\infty$$ whenever $$\left |x_{0}\right |<\sqrt [a]{\frac {k_{1}}{k_{2}}}\:\delta$$ (Schmitt & Thompson, 1988, p. 71). These facts mean that the equilibrium point x = 0 is uniformly stable. Assume that $$\left |x_{0}\right |<\sqrt [a]{\frac {k_{1}}{k_{2}}}\:\delta$$. Define $$\chi :[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ as $$\chi \left (t\right )=\int _{t_{0}}^{t}h\left (\tau \right )\ \textrm {d}\tau$$ for all $$t\in [t_{0},\infty )$$. Since the function h is non-negative almost everywhere on $$[t_{0},\infty )$$, the function χ is non-decreasing. Thus, the fact that h ∈ Ω2 implies that there exists $$T_{1} \in (t_{0},\infty )$$ such that \begin{align} \chi\left(T_{1}\right)>\max{\left(\frac{1}{k_{1}^{\frac{b}{a}}\delta^{b}}\,,k_{2}^{\frac{b^{2}}{a^{2}}}\left(\frac{a}{b}\right)^{\frac{b}{a}},\frac{1}{\delta^{b}}\left(\frac{{{k_{2}^{2}}}}{k_{1}}\right)^{\frac{b}{a}}\right)}, \end{align} (4.9) and hence \begin{align} \chi\left(t\right)>k_{2}^{\frac{b^{2}}{a^{2}}}\left(\frac{a}{b}\right)^{\frac{b}{a}},\:\forall t\geqslant T_{1}. \end{align} (4.10) Let $$\psi _{1}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ be defined as $$\psi _{1}\left (t\right )=k_{1}\delta ^{a}$$ for all $$t\in [t_{0},\infty )$$. Since ψ1 is a constant function, it is absolutely continuous on [t0, ω). Define $$\varphi _{1}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ as \begin{align} \varphi_{1}\left(t\right)=\begin{cases} \left(\chi\left(t\right)\right)^{-\frac{a}{b}} & t\in[T_{1},\infty),\\ \left(\chi\left(T_{1}\right)\right)^{-\frac{a}{b}} & t\in[t_{0},T_{1}). \end{cases} \end{align} (4.11) We have $$\varphi _{1}\left (t\right )\leqslant \left (\chi \left (T_{1}\right )\right )^{-\frac {a}{b}}$$ for all t ⩾ t0 because the function χ is non-decreasing. Furthermore, it follows from (4.9) that $$\chi \left (T_{1}\right )>1/k_{1}^{\frac {b}{a}}\delta ^{b}$$. Therefore, we have \begin{align} \varphi_{1}\left(t\right)<\psi_{1}\left(t\right)=k_{1}\delta^{a},\quad\forall t\geqslant t_{0}, \end{align} (4.12) and hence Inequalities (3.9) and (3.1) are satisfied. The function φ1 is continuous on $$[t_{0},\infty )$$ and is continuously differentiable on the open set $$(t_{0},T_{1})\cup (T_{1},\infty )$$ and thus it is absolutely continuous on each compact interval of $$[t_{0},\infty )$$. Moreover, we have \begin{align*} \dot{\varphi}_{1}\left(t\right)=\begin{cases} -\frac{a}{b}\left(\chi\left(t\right)\right)^{-\frac{a}{b}-1}h\left(t\right) & t\in\left(T_{1},\infty\right)\!,\\ 0 & t\in\left(t_{0},T_{1}\right)\!. \end{cases}\end{align*} Observe that $$\dot {\varphi }_{1}\left (t\right )\leqslant 0$$ for almost all t > t0 because the function h is non-negative almost everywhere on $$[t_{0},\infty )\supset (T_{1},\infty )$$. Thus, Inequalities (4.7) and (4.8) imply that \begin{align} \dot{z}\left(t\right)\leqslant0=\min{\left(\dot{\varphi}_{1}\left(t\right),\dot{\psi}_{1}\left(t\right)\right)}\textrm{for almost all}\ t\in\left(t_{0},T_{1}\right)\textrm{that satisfy}\ z\left(t\right)<k_{1}\delta^{a}. \end{align} (4.13) On the other hand, we obtain from (4.7) and (4.8) that \begin{align} \dot{z}\left(t\right)\leqslant-h\left(t\right)\left(\frac{z\left(t\right)}{k_{2}}\right)^{\frac{b}{a}}\textrm{for almost all}\ t> t_{0}\ \textrm{that satisfy}\ z\left(t\right)<\psi_{1}\left(t\right)=k_{1}\delta^{a}. \end{align} (4.14) It comes from (4.10) that \begin{align*} -h(t)\left(\frac{\varphi_{1}(t)}{k_{2}}\right)^{\frac{b}{a}}\leqslant\dot{\varphi}\left(t\right)\textrm{for almost all}\ t>T_{1}, \end{align*} and thus we get from (4.14) that \begin{align} \begin{split} \dot{z}\left(t\right)\leqslant \min{\left(\dot{\varphi}_{1}\left(t\right),\dot{\psi}_{1}\left(t\right)\right)}\leqslant0&\textrm{ for almost all }t>T_{1}\\ & \textrm{ that satisfy }\varphi_{1}\left(t\right)<z\left(t\right)<\psi_{1}\left(t\right)=k_{1}\delta^{a}. \end{split} \end{align} (4.15) Combining Equations (4.15) and (4.13) it comes that Inequalities (3.2) and (3.10) are satisfied. Therefore, we get from (3.3) and (3.11) and Propositions 3.1 and 3.2 that \begin{align} z\left(t\right) & \leqslant \varphi_{1}\left(t\right),\;\forall t\in[t_{0},\infty)\ \textrm{whenever}\ z\left(t_{0}\right)\leqslant\left(\chi\left(T_{1}\right)\right)^{-\frac{a}{b}}\!, \\ z\left(t\right) & < \psi_{1}\left(t\right)=k_{1}\delta^{a},\;\forall t\in[t_{0},\infty)\ \textrm{whenever}\left(\chi\left(T_{1}\right)\right)^{-\frac{a}{b}}<z\left(t_{0}\right)<k_{1}\delta^{a}. \nonumber \end{align} (4.16) Recall that, owing to Inequality (4.9), we have $$\chi \left (T_{1}\right )>\frac {1}{\delta ^{b}}\left (\frac {{{k_{2}^{2}}}}{k_{1}}\right )^{\frac {b}{a}}$$. This fact along with Inequalities (4.7) imply that \begin{align}\begin{aligned} \left|x\left(t\right)\right| & \leqslant \sqrt[a]{\frac{\varphi_{1}\left(t\right)}{k_{1}}},\quad\forall t\in[t_{0},\infty),\ \textrm{whenever}\left|x_{0}\right|\leqslant\frac{1}{k_{2}^{\frac{1}{a}}\left(\chi\left(T_{1}\right)\right)^{\frac{1}{b}}}, \\ \left|x\left(t\right)\right| & < \delta,\quad \forall t\in[t_{0},\infty)\textrm{ whenever }\frac{1}{k_{1}^{\frac{1}{a}}\left(\chi\left(T_{1}\right)\right)^{\frac{1}{b}}}<\left|x_{0}\right|<\sqrt[a]{\frac{k_{1}}{k_{2}}}\:\delta. \end{aligned} \end{align} (4.17) Note that $$\frac {1}{k_{1}^{1/a}\left (\chi \left (T_{1}\right )\right )^{1/b}}<\sqrt [a]{\frac {k_{1}}{k_{2}}}\:\delta$$ because $$\chi \left (T_{1}\right )>\frac {1}{\delta ^{b}}\left (\frac {{{k_{2}^{2}}}}{k_{1}}\right )^{\frac {b}{a}}$$. Observe that, owing to Equation (4.11), it comes that $$\lim _{t\rightarrow \infty }\varphi _{1}\left (t\right )=0$$ because h ∈ Ω2. Hence, it follows from (4.17) that $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant \frac {1}{k_{2}^{\frac {1}{a}}\left (\chi \left (T_{1}\right )\right )^{\frac {1}{b}}}$$. Thus, the equilibrium x = 0 is a locally attractive point although it is not a uniformly locally attractive point because T1 depends on t0. To sum up, we have proved so far that x = 0 is stable and locally attractive. This means that x = 0 is asymptotically stable. Finally, we need to prove that when Inequality (4.8) is satisfied for $$\delta =\infty$$ then x = 0 is globally asymptotically stable. To this end, we first need to prove that $$\omega =\infty$$ for any initial condition $$x_{0}\in \mathbb {R}^{m}$$, where [t0, ω) is the largest interval of existence of the Carathéodory solutions of (4.1)–(4.2). This comes next. We have from (4.8) that $$\dot {z}\left (t\right )\leqslant 0$$ for almost all t ∈ (t0, ω). Thus, all conditions of Lemma 3.1 are satisfied with z1 = 0 and $$z_{2}=z\left (t_{0}\right )+1$$ and thus we have $$z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ∈ [t0, ω). Therefore (4.7) implies that: \begin{align*} \left|x\left(t\right)\right|\leqslant\sqrt[a]{\frac{k_{2}}{k_{1}}}\left|x_{0}\right|,\quad\forall t\in[t_{0},\omega)\ \textrm{for any}\ x_{0}\in\mathbb{R}^{m},\end{align*} and hence $$\omega =\infty$$ for any $$x_{0}\in \mathbb {R}^{m}$$. The rest of the analysis is dedicated to proving that x = 0 is globally asymptotically stable. Note first that the fact that h ∈ Ω2 leads to the existence of T2 > t0 such that \begin{align} \chi\left(t\right)>k_{2}^{\frac{b^{2}}{a^{2}}}\left(\frac{a}{b}\right)^{\frac{b}{a}},\quad\forall t\geqslant T_{2}. \end{align} (4.18) Let $$\varphi _{2}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ be defined as \begin{align*} \varphi_{2}\left(t\right)=\begin{cases} \left(\chi\left(t\right)\right)^{-\frac{a}{b}} & t\in[T_{2},\infty),\\ \left(\chi\left(T_{2}\right)\right)^{-\frac{a}{b}} & t\in[t_{0},T_{2}). \end{cases}\end{align*} We have $$\varphi _{2}\left (t\right )\leqslant \left (\chi \left (T_{2}\right )\right )^{-\frac {a}{b}}$$ for all t ⩾ t0 and $$\lim _{t\rightarrow \infty }\varphi _{2}\left (t\right )=0$$ because χ is non-decreasing and h ∈ Ω2. It comes from (4.18) that \begin{align} -h\left(t\right)\left(\frac{\varphi_{2}\left(t\right)}{k_{2}}\right)^{\frac{b}{a}}\leqslant\dot{\varphi}_{2}\left(t\right)\textrm{for almost all}\ t>T_{2}. \end{align} (4.19) Define a constant function $$\psi _{2}:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ as \begin{align*} \psi_{2}\left(t\right)=1+\left\Vert \varphi_{2}\right\Vert +z\left(t_{0}\right)=1+\left\Vert \varphi_{2}\right\Vert +V\left(t_{0},x_{0}\right),\quad\forall t\geqslant t_{0}.\end{align*} Observe that Inequalities (3.9) and (3.1) are satisfied. On the other hand, Inequality (4.8) implies that \begin{align} \dot{z}\left(t\right)\leqslant0=\min{\left(\dot{\varphi}_{2}\left(t\right),\dot{\psi}_{2}\left(t\right)\right)}\ \textrm{for almost all}\ t\in\left(t_{0},T_{2}\right). \end{align} (4.20) On the other hand, we obtain from (4.7) and (4.8) that \begin{align} \dot{z}\left(t\right)\leqslant-h\left(t\right)\left(\frac{z\left(t\right)}{k_{2}}\right)^{\frac{b}{a}}\textrm{for almost all}\ t> t_{0}. \end{align} (4.21) Hence, (3.12), (3.13) and (3.14) are satisfied with $$H\left (v\right )=v^{\frac {b}{a}}$$ for all v ⩾ 0 and $$q\left (t\right )=k_{2}^{-\frac {b}{a}}h\left (t\right )$$ for all t ≥ t0. Moreover, we get by (4.19) and (4.21) that \begin{align*} \dot{z}\left(t\right)\leqslant\min{\left(\dot{\varphi_{2}}\left(t\right),\dot{\psi_{2}}\left(t\right)\right)}\leqslant0 \ \textrm{for almost all}\ t>T_{2}\ \textrm{that satisfy}\ z(t)>\varphi_{2}(t).\end{align*} Observe that (4.20) implies that Inequalities (3.2) and (3.10) are satisfied. Therefore, all conditions of Corollary 3.1 are satisfied. This implies that for any $$x_{0}\in \mathbb {R}^{m}$$ we have $$\lim _{t\rightarrow \infty }z\left (t\right )=0$$. Therefore, we obtain from (4.7) that $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ for any initial condition $$x_{0}\in \mathbb {R}^{m}$$ and hence x = 0 is globally attractive. Thus, x = 0 is globally asymptotically stable since it is stable. We now apply Theorem 4.1 to the study of the asymptotic stability of a class of linear time-varying (LTV) systems. Unlike linear time-invariant systems, the stability of LTV systems cannot be linked with the location of the eigenvalues of their system matrix (Wu, 1974). For this reason, only special classes of LTV systems have been studied in the literature. In the following example we consider a second-order LTV system whose right-hand side may be discontinuous with respect to time. We provide sufficient conditions for the uniform stability and global asymptotic stability of the system. Example 4.1 Consider the linear time-invariant system \begin{align} \begin{aligned} \dot{x}\left(t\right) & = A\, x\left(t\right), \textrm{ for almost all } t \in [t_{0},\infty), \\ x\left(t_{0}\right) & = x_{0}, \end{aligned} \end{align} (4.22) where $$n \in \mathbb {N} \setminus \{0\}$$, A is an n × n real stable matrix, that is every eigenvalue of A has a strictly negative real part, $$t_{0} \in \mathbb {R}$$, $$x_{0} \in \mathbb {R}^{n}$$ and state $$x\left (t\right )\in \mathbb {R}^{n}$$. Let P be the real symmetric positive-definite n × n matrix that satisfies PA + ATP = In where In is the n × n identity matrix. Consider the Lyapunov function V (x) = xTPx, then V satisfies (4.7) and (4.8) with a = b = 2 and h(t) = 1 for all t ≥ t0, k1 and k2 being the smallest and largest eigenvalues of A. Since we can take $$\delta =\infty$$ it follows from Theorem 4.1 (ii) that the origin is globally asymptotically stable. Example 4.1 shows that when Theorem 4.1 is applied to linear time-invariant systems, the obtained stability result is not conservative. Example 4.2 Consider the LTV system \begin{align} \begin{aligned} \dot{x}\left(t\right) & = A\left(t\right)\, x\left(t\right), \textrm{ for almost all } t \in [t_{0},\infty), \\ x\left(t_{0}\right) & = x_{0}, \end{aligned} \end{align} (4.23) where $$t_{0} \in \mathbb {R}$$, $$x_{0} \in \mathbb {R}^{2}$$ and state $$x\left (t\right )\in \mathbb {R}^{2}$$. The matrix A is defined by \begin{align*} A\left(t\right)=\left[\begin{array}{cc} c_{1}\left(t\right) & c_{2}\left(t\right)\\ c_{3}\left(t\right) & c_{4}\left(t\right) \end{array}\right]\end{align*} for some measurable functions $$c_{i}:[t_{0},\infty )\rightarrow \mathbb {R},\, i=1,2,3,4$$. Assume that \begin{align} c_{1}\left(t\right)<0 \ \textrm{and}\ c_{4}\left(t\right)<0\ \textrm{for almost all}\ t\in[t_{0},\infty), \end{align} (4.24) \begin{align} 0\leqslant c_{2}\left(t\right)+c_{3}\left(t\right)<2\,\min\left(\left|c_{1}\left(t\right)\right|,\left|c_{4}\left(t\right)\right|\right)\textrm{for almost all}\ t\in[t_{0},\infty), \end{align} (4.25) \begin{align} \lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}c_{1}\left(\tau\right)\ \textrm{d}\tau=\lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}c_{4}\left(\tau\right)\ \textrm{d}\tau=-\infty, \end{align} (4.26) \begin{align} \lim_{t\rightarrow\infty}\int\limits_{t_{0}}^{t}\left(c_{2}\left(\tau\right)+c_{3}\left(\tau\right)\right)\ \textrm{d}\tau<\infty. \end{align} (4.27) Since the matrix function A(t) is measurable, the system (4.23) satisfies all assumptions of (Filippov, 1988, Theorem 3). This implies that a unique absolutely continuous solution of (4.23) exists on $$[t_{0},\infty )$$. Observe that x = 0 is an equilibrium point for (4.23). Define $$h:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ for almost all t ⩾ t0 as \begin{align*} h\left(t\right)=-\max{\left(c_{1}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2},c_{4}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2}\right)}.\end{align*} Owing to (4.24)–(4.27) it comes that h is measurable, non-negative and $$\lim _{t\rightarrow \infty }\int _{t_{0}}^{t}h\left (\tau \right )\ \textrm {d}\tau =\infty$$. Consider the continuously differentiable quadratic Lyapunov function candidate $$V:\mathbb {R}^{2}\rightarrow \mathbb {R}_{+}$$ defined by \begin{align*} V\left(\alpha\right)=\frac{1}{2}\left|\alpha\right|^{2},\;\forall\alpha\in\mathbb{R}^{2}.\end{align*} Then Inequality (4.7) is satisfied with k1 = k2 = 1/2 and a = 2. We get for almost all $$t\in [t_{0},\infty )$$ that \begin{align*} \left.\frac{dV\left(\alpha\right)}{d\alpha}\right|_{\alpha=x\left(t\right)=( x_{1}(t),x_{2}(t))}\cdot f\left(t,x\left(t\right)\right) & = \left[\begin{array}{cc} x_{1}\left(t\right) & x_{2}\left(t\right)\end{array}\right]A\left(t\right)\left[\begin{array}{c} x_{1}\left(t\right)\\ x_{2}\left(t\right) \end{array}\right] \nonumber \\ & = c_{1}\left(t\right){{x_{1}^{2}}}+c_{4}\left(t\right){{x_{2}^{2}}}+\left(c_{2}\left(t\right)+c_{3}\left(t\right)\right)x_{1}x_{2} \nonumber \\ & \leqslant \left(c_{1}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2}\right){{x_{1}^{2}}} \nonumber \\ &\quad\ +\left(c_{4}\left(t\right)+\frac{c_{2}\left(t\right)+c_{3}\left(t\right)}{2}\right){{x_{2}^{2}}} \nonumber \\ & \leqslant -h\left(t\right)\left|x\left(t\right)\right|^{2}. \nonumber \end{align*} Thus, (4.8) is satisfied globally with b = 2 and $$\delta =\infty$$. Thus, it follows from Theorem 4.1 that x = 0 is uniformly stable and is globally asymptotically stable. Note that the special case $$c_{2}\left (t\right )=-c_{3}\left (t\right )$$ makes Conditions (4.25) and (4.27) trivially satisfied. 5. Asymptotic stability of perturbed linear systems In this section we study the stability of the following class of perturbed linear systems: \begin{equation} \dot{x}\left(t\right) = Ax\left(t\right)+g\left(t,x\left(t\right)\right), \end{equation} (5.1) \begin{equation} {\hskip-70pt} x\left(t_{0}\right) = x_{0}, \end{equation} (5.2) where t ⩾ t0, A is a m × m matrix, state $$x\left (t\right )\in \mathbb {R}^{m}$$ and a function $$g:[t_{0},\infty )\times \mathbb {R}^{m}\rightarrow \mathbb {R}^{m}$$. In this section, we assume that (B1) the function g(t, x) is locally essentially bounded on $$\mathbb {R}_{+} \times \mathbb {R}^{m}$$, (B2) for each $$x \in \mathbb {R}^{m}$$, the function t ↦g(t, x) is measurable, (B3) for almost all $$t \in \mathbb {R}_{+}$$, the function x ↦g(t, x) is continuous, (B4) and for all t ⩾ 0, g(t, 0) = 0. Assumptions (B1)–(B3) imply that the right-hand side of (5.1) satisfies Assumptions (A1)–(A3). This implies that a local Carathéodory solution for (5.1)–(5.2) exists and is defined on an interval of the form $$[t_{0},\omega ),\, t_{0}<\omega \leqslant \infty$$. Assumption (B4) means that x = 0 is an equilibrium point for (5.1). In the following theorem, we introduce sufficient conditions for the asymptotic stability of the system (5.1)–(5.2). The main novelty of the result is that the perturbation term $$g\left (t,\alpha \right )$$ may be unbounded with respect to time. Theorem 5.1 Suppose that the following Conditions 1– 4 hold. The matrix A is stable. There exist d > 1, $$\delta \in (0,\infty ]$$ and a function $$G\in C^{1}\left ([t_{0},\infty ),\mathbb {R}_{+}\right )$$ such that \begin{align} \left|g\left(t,\alpha\right)\right|\leqslant G\left(t\right)\left|\alpha\right|^{d},\quad\forall t\geqslant t_{0}\ \textrm{and}\ \forall\alpha\in\mathbb{R}^{m}\ \textrm{with}\left|\alpha\right|<\delta. \end{align} (5.3) The function G is non-decreasing on $$[t_{0},\infty )$$ with $$\lim _{t\rightarrow \infty }G\left (t\right )=\infty$$. For some instant t1 ⩾ t0 that satisfies $$G\left (t\right )>0$$ for all t ≥ t1, the function $$\Phi :[t_{1},\infty )\rightarrow \mathbb {R}_{+}$$ which is defined as $$\Phi \left (t\right )=\frac {\dot {G}\left (t\right )}{G\left (t\right )},\textrm {for all}\ t\geqslant t_{1},$$ is non-increasing with $$\lim _{t\rightarrow \infty }\Phi \left (t\right )=0$$. Then, there exists r > 0 such that if $$\left |x_{0}\right |\leqslant r$$, then each solution x(t) of (5.1)–(5.2) is continuable on $$[t_{0},\infty )$$, the origin x = 0 is asymptotically stable; in particular we have $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Moreover, if g is continuous then $$\lim _{t\rightarrow \infty }\dot {x}\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Proof. Since A is stable there exists a symmetric m × m matrix P > 0 that satisfies \begin{align} PA+A^{T}P=-I, \end{align} (5.4) where I is the identity m × m matrix (Khalil, 2002, p.136). Consider the quadratic Lyapunov function candidate $$V\in C^{1}\left (\mathbb {R}^{m},\mathbb {R}\right )$$ with $$V\left (\alpha \right )=\alpha ^{T}P\alpha$$ for all $$\alpha \in \mathbb {R}^{m}$$. Then (Khalil, 2002, p. 155) \begin{align} \lambda_{\min{}}\left|\alpha\right|^{2}\leqslant V\left(\alpha\right)\leqslant\lambda_{\max{}}\left|\alpha\right|^{2}, \end{align} (5.5) where $$\lambda _{\min }>0$$ and $$\lambda _{\max }>0$$ are respectively the minimum and the maximum eigenvalues of the matrix P. Thus, we get \begin{align*} \frac{dV\left(\alpha\right)}{d\alpha}\cdot A\alpha=-\left|\alpha\right|^{2},\quad\forall\alpha\in\mathbb{R}^{m},\end{align*} \begin{align*} \left|\frac{dV\left(\alpha\right)}{d\alpha}\right|=2\left|P\,\alpha\right|\leqslant2\left|P\right|_{2}\left|\alpha\right|=2\lambda_{\max{}}\left|\alpha\right|,\quad\forall\alpha\in\mathbb{R}^{m},\end{align*} where $$\left |P\right |_{2}$$ is the induced 2-norm for the matrix P. Therefore, \begin{align} \frac{dV\left(\alpha\right)}{d\alpha}\cdot \left(A\alpha+g\left(t,\alpha\right)\right) \leqslant -\left|\alpha\right|^{2}+2\lambda_{\max{}}\left|\alpha\right|\left|g\left(t,\alpha\right)\right|,\quad\forall t\in[t_{0},\infty),\quad\forall\alpha\in\mathbb{R}^{m}. \end{align} (5.6) Let x(t) be a solution of (5.1)–(5.2) with maximal interval of existence [t0, ω). Define $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ as $$z\left (t\right )=V\left (x\left (t\right )\right )$$ for all t ∈ [t0, ω). Since x absolutely continuous and V is continuously differentiable, the function z is absolutely continuous on each compact interval of [t0, ω). We obtain from (5.3) and (5.6) that \begin{align} \begin{aligned} \dot{z}\left(t\right)\leqslant -\left|x\left(t\right)\right|^{2}+2\lambda_{\max{}}G\left(t\right)\left|x\left(t\right)\right|^{d+1}&\textrm{ for almost all }t\in\left(t_{0},\omega\right)\\ & \textrm{ that satisfy }\left|x\left(t\right)\right|<\delta. \end{aligned}\end{align} (5.7) On the other hand, Condition 4 and the fact that G is non-decreasing imply that there exists t2 > t1 such that \begin{align} \Phi\left(t\right)=\frac{\dot{G}\left(t\right)}{G\left(t\right)}\leqslant\frac{d-1}{8\lambda_{\max{}}},\ \textrm{for all}\ t\geqslant t_{2}, \end{align} (5.8) and \begin{align} \frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t_{2}\right)}}<\delta. \end{align} (5.9) Let $$\psi ,\varphi :[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ be defined as \begin{align*} \psi\left(t\right)=\begin{cases} \lambda_{\min{}}\left(\frac{1}{4\lambda_{\max{}}G\left(t_{2}\right)}\right)^{\frac{2}{d-1}} & \textrm{if}\ t_{0}\leqslant t<\min{\left(t_{2},\omega\right)}\\ \lambda_{\min{}}\left(\frac{1}{4\lambda_{\max{}}G\left(t\right)}\right)^{\frac{2}{d-1}} & \textrm{if}\ t_{2}\leqslant t<\omega\ \textrm{and}\ t_{2}<\omega \end{cases}\end{align*} and $$\varphi \left (t\right )=\frac {1}{2}\psi \left (t\right )$$ for all t ∈ [t0, ω). The functions ψ and φ are absolutely continuous on each compact interval of [t0, ω) because the function $$G:[t_{0},\infty )\rightarrow \mathbb {R}_{+}$$ is continuously differentiable. From (5.9) and the definitions of φ and ψ, we conclude that \begin{align} \varphi\left(t\right)<\psi\left(t\right)<\lambda_{\min{}}\delta^{2},\quad\forall t\in[t_{0},\omega), \end{align} (5.10) and hence Inequality (3.1) is satisfied. Since the function G is non-decreasing on $$[t_{0},\infty )$$, we have \begin{align} \dot{\psi}\left(t\right)\leqslant\dot{\varphi}\left(t\right)\leqslant0,\textrm{for almost all}\ t\in\left(t_{0},\omega\right). \end{align} (5.11) Moreover, it comes from (5.9) and (5.7) that if t2 < ω, then \begin{align} \dot{z}\left(t\right)\leqslant-\frac{1}{2}\left|x\left(t\right)\right|^{2},\ \textrm{for almost all}\ t\in\left(t_{2},\omega\right)\textrm{that satisfy}\left|x\left(t\right)\right|<\frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t\right)}}. \end{align} (5.12) Claim 1. We have \begin{aligned} \dot{z}\left(t\right)\leqslant -\frac{1}{2}\left|x\left(t\right)\right|^{2},\textrm{ for almost all }&t\in\left(t_{0},\min{\left(t_{2},\omega\right)}\right)\textrm{ that satisfy }\\ & \left|x\left(t\right)\right|<\frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t_{2}\right)}}. \end{aligned} (5.13) Proof. Let $$S=\left \{ \tau \in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )/G\left (t\right )=0,\textrm {for all} \ t\in \left (t_{0},\tau \right )\right \}$$. If S = ∅, then the fact that $$G\in C^{1}\left ([t_{0},\infty ),\mathbb {R}_{+}\right )$$ is non-decreasing implies that $$G\left (t\right )>0$$ for all $$t\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$. Thus, \begin{align*} \frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t_{2}\right)}}\leqslant\frac{1}{\sqrt[d-1]{4\lambda_{\max{}}G\left(t\right)}},\quad\forall t\in\left(t_{0},\min{\left(t_{2},\omega\right)}\right),\end{align*} and hence (5.7) and (5.9) imply that (5.13) is satisfied. If $$S=\left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$, then $$G\left (t\right )=0$$ for all $$t\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$ and thus (5.13) is satisfied because of (5.7) and (5.9). If S ≠ ∅ and $$S\neq \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$, then the continuity of G implies that $$T_{3}=\sup {S}\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$. Thus, $$G\left (t\right )=0$$ for all $$t\in \left (t_{0},T_{3}\right )$$ and $$G\left (t\right )>0$$ for all $$t\in \left (T_{3},\min {\left (t_{2},\omega \right )}\right )$$. By considering the intervals $$\left (t_{0},T_{3}\right )$$ and $$\left (T_{3},\min {\left (t_{2},\omega \right )}\right )$$ it can be verified that (5.13) is satisfied. □ We have from (5.5), (5.12) and (5.13) that \begin{align} \dot{z}\left(t\right)\leqslant-\frac{1}{2\lambda_{\max{}}}z\left(t\right),\textrm{for almost all}\ t\in\left(t_{0},\omega\right)\textrm{that satisfy}\ z\left(t\right)<\psi\left(t\right)\!. \end{align} (5.14) Claim 2. If t2 < ω, then \begin{align*} \dot{z}\left(t\right)\leqslant\min{\left(\dot{\varphi}\left(t\right),\dot{\psi}\left(t\right)\right)}\ \textrm{for almost all}\ t\in\left(t_{2},\omega\right)\textrm{that satisfy}\ \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right)\!.\end{align*} Proof. We deduce from (5.8) that \begin{align*} -\frac{1}{4\lambda_{\max{}}}\leqslant\frac{2}{\left(d-1\right)}\left(\frac{1}{4\lambda_{\max{}}G\left(t\right)}\right)^{-1}\frac{d}{dt}\left(\frac{1}{4\lambda_{\max{}}G\left(t\right)}\right) \textrm{for almost all}\ t>t_{2}. \end{align*} By multiplying both sides by $$\lambda _{\min {}}\left (\frac {1}{4\lambda _{\max {}}G\left (t\right )}\right )^{\frac {2}{d-1}}$$, we get \begin{align} -\frac{1}{2\lambda_{\max{}}}\varphi\left(t\right)\leqslant\dot{\psi}\left(t\right)\textrm{for almost all}\ t>t_{2}. \end{align} (5.15) On the other hand, one has $$\dot {\psi }\left (t\right )=\min {\left (\dot {\varphi }\left (t\right ),\dot {\psi }\left (t\right )\right )}\ \textrm {for almost all}\ t\in \left (t_{2},\omega \right )$$ because of (5.11). Therefore, Inequalities (5.14) and (5.15) complete the proof. □ Claim 2 and the fact that $$\dot {\psi }\left (t\right )=\dot {\varphi }\left (t\right )=0,\textrm {for almost all}\ t\in \left (t_{0},\min {\left (t_{2},\omega \right )}\right )$$ imply that \begin{align*} \dot{z}\left(t\right)\leqslant\min{\left(\dot{\varphi}\left(t\right),\dot{\psi}\left(t\right)\right)}\ \textrm{for almost all}\ t\in\left(t_{0},\omega\right)\textrm{that satisfy}\ \varphi\left(t\right)<z\left(t\right)<\psi\left(t\right).\end{align*} Therefore, Inequality (3.2) is satisfied. Equation (3.3) of Proposition 3.1 gives \begin{align*} z\left(t\right)\leqslant\varphi\left(t\right),\quad\forall t\in[t_{0},\omega)\ \textrm{whenever}\ z\left(t_{0}\right)\leqslant\varphi\left(t_{0}\right)=\frac{\lambda_{\min{}}}{2\left(4\lambda_{\max{}}G\left(t_{2}\right)\right)^{\frac{2}{d-1}}},\end{align*} which together with (5.5) lead to \begin{align} \left|x\left(t\right)\right|\leqslant\sqrt{\frac{\varphi\left(t\right)}{\lambda_{\min{}}}},\quad\forall t\in[t_{0},\omega)\ \textrm{whenever}\left|x_{0}\right|\leqslant r, \end{align} (5.16) where $$r=\frac {\sqrt {\frac {\lambda _{\min {}}}{2}}}{\sqrt [d-1]{4\left (\lambda _{\max {}}\right )^{\frac {d+1}{2}}G\left (t_{2}\right )}}$$. Note that (5.10) implies that $$\omega =\infty$$ whenever $$\left |x_{0}\right |\leqslant r$$. In the rest of the proof, we assume that $$\left |x_{0}\right |\leqslant r$$. Since $$\omega =\infty$$ and $$\lim _{t\rightarrow \infty }G\left (t\right )=\infty$$ we have $$\lim _{t\rightarrow \infty }\varphi \left (t\right )=\lim _{t\rightarrow \infty }\psi \left (t\right )=0$$. Thus, we get from (5.16) that \begin{align} \lim_{t\rightarrow\infty}x\left(t\right)=0 \ \textrm{whenever}\left|x_{0}\right|\leqslant r. \end{align} (5.17) Hence x = 0 is a locally attractive equilibrium point for (5.1). Note that x = 0 is not uniformly locally attractive because r depends on t0. Since the function φ is non-increasing, Inequality (3.4) is satisfied because of (5.14). Therefore, $$z\left (t\right )\leqslant z\left (t_{0}\right )$$ for all t ≥ t0, whenever $$z\left (t_{0}\right )\leqslant \varphi \left (t_{0}\right )$$ (see 3.5). Hence, we deduce from (5.5) that \begin{align*} \left|x\left(t\right)\right|\leqslant\sqrt{\frac{\lambda_{\max{}}}{\lambda_{\min{}}}}\left|x_{0}\right|,\quad\forall t\geqslant t_{0},\textrm{whenever}\left|x_{0}\right|\leqslant r.\end{align*} Thus, the equilibrium x = 0 is stable. This implies that this equilibrium is asymptotically stable because it is locally attractive. Finally, we deduce from (5.10) and (5.16) that \begin{align*} \left|x\left(t\right)\right|<\delta,\quad\forall t\geqslant t_{0}\ \textrm{whenever}\left|x_{0}\right|\leqslant r.\end{align*} Therefore, (5.1) and (5.3) imply that \begin{align} \left|\dot{x}\left(t\right)\right|\leqslant\left|A\right|_{2}\left|x\left(t\right)\right|+G\left(t\right)\left|x\left(t\right)\right|^{d},\textrm{ for almost all}\ t>t_{0}, \end{align} (5.18) where $$\left |A\right |_{2}$$ is the induced 2-norm of the matrix A. Hence, we obtain from (5.16) and the definition of the function φ that \begin{align*} \left|\dot{x}\left(t\right)\right|\leqslant\left|A\right|_{2}\left|x\left(t\right)\right|+G\left(t\right)\left(\frac{1}{\sqrt{2}\left(4\lambda_{\max{}}G\left(t\right)\right)^{\frac{1}{d-1}}}\right)^{d},\textrm{ for almost all}\ t>t_{2},\end{align*} so that \begin{align} \left|\dot{x}\left(t\right)\right|\leqslant\left|A\right|_{2}\left|x\left(t\right)\right|+\frac{c}{\left(G\left(t\right)\right)^{\frac{d}{d-1}}},\textrm{for almost all}\ t>t_{2}, \end{align} (5.19) where $$c=\frac {1}{2^{\frac {d}{2}}\left (4\lambda _{\max {}}\right )^{\frac {d}{d-1}}}$$. If g is continuous, then Inequality (5.19) holds for all t > t2. Thus, (5.17) and the fact that $$\lim _{t\rightarrow \infty }G\left (t\right )=\infty$$ lead to \begin{align*} \lim_{t\rightarrow\infty}\dot{x}\left(t\right)=0,\textrm{whenever}\left|x_{0}\right|\leqslant r.\end{align*} Example 5.1 Consider the second-order system \begin{align} \dot{x}_{1}\left(t\right) = x_{2}\left(t\right), \end{align} (5.20) \begin{align} \dot{x}_{2}\left(t\right) = -4\, x_{1}\left(t\right)-2\, x_{2}\left(t\right)-t^{4}{{x_{2}^{3}}}\left(t\right), \end{align} (5.21) where t ⩾ t0 ⩾ 0, x1 and x2 take values in $$\mathbb {R}$$. The system (5.20)–(5.21) can be rewritten as (5.1) where $$x\left (t\right )= \left (x_{1}\left (t\right ), x_{2}\left (t\right )\right ),\; t\geqslant t_{0}$$, \begin{align*} A=\left[\begin{array}{cc} 0 & 1\\ -4 & -2 \end{array}\right],\end{align*} and \begin{align} g\left(t,\alpha\right)=\left( 0,-t^{4}{{\alpha_{2}^{3}}}\right),\quad\forall t\geqslant t_{0},\quad\forall\alpha=(\alpha_{1},\alpha_{2})\in\mathbb{R}^{2}. \end{align} (5.22) The right-hand sides of (5.20)–(5.21) are continuous and satisfie a local Lipschitz condition with respect to x.2 Hence, (5.20)–(5.21) has a unique continuously differentiable solution x(t) that is defined on an interval of the form $$[t_{0},\omega ),\:t_{0}<\omega \leqslant \infty$$ (Schmitt & Thompson, 1988, p. 70). Define $$z:[t_{0},\omega )\rightarrow \mathbb {R}_{+}$$ as $$z\left (t\right )=x^{2}\left (t\right )$$ for all t ∈ [t0, ω). Since x is continuously differentiable, the function z is absolutely continuous on each compact interval of [t0, ω). The eigenvalues of the matrix A are $$-1+i\,\sqrt {3}$$ and $$-1-i\,\sqrt {3}$$ where $$i=\sqrt {-1}$$. This implies that A is stable and hence Condition 1 of Theorem 5.1 is satisfied. On the other hand, we deduce from (5.22) that \begin{align*} \left|g\left(t,\alpha\right)\right|=t^{4}{{\alpha_{2}^{3}}}\leqslant t^{4}\left(\sqrt{{{\alpha_{1}^{2}}}+{{\alpha_{2}^{2}}}}\right)^{3}=t^{4}\left|\alpha\right|^{3},\quad\forall t\geqslant t_{0},\quad\forall\alpha=(\alpha_{1},\alpha_{2})\in\mathbb{R}^{2},\end{align*} which implies that (5.3) is satisfied with d = 3, $$\delta =\infty$$ and $$G\left (t\right )=t^{4}$$ for all t ⩾ t0. This means that Condition 2 of Theorem 5.1 is satisfied. Condition 3 of Theorem 5.1 is also satisfied. Let t1 > t0 ⩾ 0, then $$G\left (t\right )=t^{4}>0$$ for all t ⩾ t1. The function $$\Phi :[t_{1},\infty )\rightarrow \mathbb {R}_{+}$$ which is defined as $$\Phi \left (t\right )=\frac {\dot {G}\left (t\right )}{G\left (t\right )}=\frac {4}{t},\ \textrm {for all}\ t\geqslant t_{1}>0$$ is strictly decreasing with $$\lim _{t\rightarrow \infty }\Phi \left (t\right )=0$$. Hence, Condition 4 of Theorem 5.1 is satisfied. Thus, using Theorem 5.1 it comes that There exists r > 0 such that if $$\left |x_{0}\right |\leqslant r$$ then $$\omega = \infty$$. The origin x = 0 is asymptotically stable; in particular we have $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Moreover, $$\lim _{t\rightarrow \infty }\dot {x}\left (t\right )=0$$ whenever $$\left |x_{0}\right |\leqslant r$$. Simulations: Take t0 = 0 and x0 = (0.02, −0.02). It can be observed in Fig. 1 that $$\lim _{t\rightarrow \infty }x\left (t\right )=0$$. Fig. 2 shows that $$\lim _{t\rightarrow \infty }\dot {x}\left (t\right )=0$$. Fig. 1. View largeDownload slide x2(t) versus x1(t) for system (5.20)–(5.21). Fig. 1. View largeDownload slide x2(t) versus x1(t) for system (5.20)–(5.21). Fig. 2. View largeDownload slide $$\dot {x}_{2}(t)$$ versus $$\dot {x}_{1}(t)$$ for system (5.20)–(5.21). Fig. 2. View largeDownload slide $$\dot {x}_{2}(t)$$ versus $$\dot {x}_{1}(t)$$ for system (5.20)–(5.21). 6. Conclusions This paper dealt with the asymptotic stability of non-linear time-varying systems. The study is cast within the following framework: given an unknown absolutely continuous function z ≥ 0, provide sufficient conditions on z that allow (1) the knowledge of an upper bound on z and (2) show that z vanishes at infinity. This framework is shown to be useful for the analysis of the asymptotic stability of some classes of linear and non-linear time-varying systems. Acknowledgements Supported by the Spanish Ministry of Economy, Industry and Competitiveness through grant DPI2016-77407-P (AEI/FEDER, UE). References Aeyels , D. & Peuteman , J. ( 1998 ) A new asymptotic stability criterion for nonlinear time-variant differential equations . IEEE Trans. Automatic Control , 43 , 968 -- 971 . Google Scholar CrossRef Search ADS Bacciotti , A. & Rosier , L. ( 2005 ) Liapunov Functions and Stability in Control Theory . Springer . Google Scholar CrossRef Search ADS Filippov , A.F. ( 1988 ) Differential Equations with Discontinuous Right-Hand Sides . Kluwer . Google Scholar CrossRef Search ADS Khalil , H.K. ( 2002 ) Nonlinear Systems . 3rd edn. Upper Saddle River, New Jersey : Prentice Hall , ISBN 0130673897 . Loría , A. , Panteley , E. , Popović , D. & Teel , A.R. ( 2005 ) A nested Matrosov theorem and persistency of excitation for uniform convergence in stable nonautonomous systems , IEEE Trans. Automatic Control , 50 , 183 -- 198 . Google Scholar CrossRef Search ADS Malisoff , M. & Mazenc , F. ( 2005 ) Further remarks on strict input-to-state stable Lyapunov functions for time-varying systems , Automatica , 41 , 1973 -- 1978 . Google Scholar CrossRef Search ADS Mazenc , F . ( 2003 ) Strict Lyapunov functions for time-varying systems , Automatica , 39 , 349 -- 353 . Google Scholar CrossRef Search ADS Mu , X. & Cheng , D. ( 2005 ) On the stability and stabilization of time-varying nonlinear control systems , Asian J. Control , 7 , 244 -- 255 . Google Scholar CrossRef Search ADS Naser , M. F. M. & Ikhouane , F. ( 2013 ) Consistency of the Duhem model with hysteresis , Math. Probl. Eng. , ID 586130 . Scarciotti , G. , Praly , L. & Astolfi , A. ( 2016 ) Invariance-like theorems and weak convergence properties , IEEE Trans. Automatic Control , 61 , 648 -- 661 . Google Scholar CrossRef Search ADS Schmitt , K. & Thompson , R. ( 1988 ) Nonlinear Analysis and Differential Equations: An Introduction, Lecture Notes . University of Utah, Department of Mathematics . Wu , M.Y. ( 1974 ) A note on stability of linear time-varying systems , IEEE Trans. Automatic Control , 19 , 162 . Google Scholar CrossRef Search ADS Yen , E.H. & Van Der Vaart , H.R. ( 1966 ) On measurable functions, continuous functions and some related concepts . Am. Math. Mon. , 73 , 991 -- 993 . Google Scholar CrossRef Search ADS Footnotes 1  In this paper we avoid the use of the words ‘positive’, ‘negative’, ‘increasing’ and ‘decreasing’ as they mean different things in different books. 2  We say that a function $$f:\mathbb {R}\times \mathbb {R}^{m}\rightarrow \mathbb {R}$$ satisfies a local Lipschitz condition with respect to x if for any compact set $$K\subset \mathbb {R}\times \mathbb {R}^{m}$$, there exists a constant L = L(K) > 0 such that for any $$\left (t,\alpha _{1}\right ),\left (t,\alpha _{2}\right )\in K$$, we have $$\left |\ f\left (t,\alpha _{2}\right )-f\left (t,\alpha _{1}\right )\right |<L\left |\alpha _{1}-\alpha _{2}\right |$$ (Schmitt & Thompson, 1988, p. 66). © The Author(s) 2017. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

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IMA Journal of Mathematical Control and InformationOxford University Press

Published: Dec 22, 2017

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