TY - JOUR
AU1 - Zhang, Zhengqiang
AU2 - Xie, Xue-Jun
AB - SCIENCE CHINA Information Sciences . November 2018, Vol. 61 119203:1–119203:3 LETTER https://doi.org/10.1007/s11432-018-9481-8 1* 2 Zhengqiang ZHANG & Xue-Jun XIE School of Engineering, Qufu Normal University, Rizhao 276826, China; Institute of Automation, Qufu Normal University, Qufu 273165, China Received 25 April 2018/Accepted 21 May 2018/Published online 18 September 2018 Citation Zhang Z Q, Xie X J. Exponential tracking of adaptive control systems. Sci China Inf Sci, 2018, 61(11): 119203, https://doi.org/10.1007/s11432-018-9481-8 Dear editor, nonlinear systems: In the last decades, extensive efforts have been (n) (n−1) focused on the adaptive control problem of un- x (t) + a Y (x(t), x˙(t), . . . , x (t)) i i certain nonlinear systems (e.g., [1–5]). In this i=1 study, the problem of exponential tracking con- = bu(t), (1) trol is addressed for a class of nonlinear systems where x(t) is system state, u(t) is control input, with parametric uncertainty. A design method a are unknown constants, Y are known smooth based on adaptive control, capable of guarantee- i i functions, and control gain b is unknown constant. ing the exponential tracking with zero tracking er- The control objective is to design a control ror, is proposed. In the control design, the fol- law 
TI - Exponential tracking of adaptive control systems
JF - Science China Information Sciences
DO - 10.1007/s11432-018-9481-8
DA - 2018-09-18
UR - https://www.deepdyve.com/lp/springer-journals/exponential-tracking-of-adaptive-control-systems-gNvZI5EJEZ
SP - 1
EP - 3
VL - 61
IS - 11
DP - DeepDyve
ER -