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This paper discusses the formulation of an optimal control framework for a two time ‐ scale system modeled in terms of singular perturbation theory. The fast dynamics subsystem is controlled online ...
strategies, including receding horizon control , are adapted to solve the energy allocation problem in a decentralized fashion. The experimental results indicate the proposed approach can considerably reduce ...
rapid screening of the design space. Open-Loop Multiple-Model Control with Adaptive Akaike Weights In traditional model predictive control (MPC), also referred to as receding horizon control ...
range of uncertainty become quite laborious [41]. The model-predictive- controllers use smaller time frames to solve the receding - horizon optimization problem and deliver time -varying controller gains [42 ...
with the cost-to-go, defined as the total expected cost to accumulate from any point in time until the end of the movement. It plays a central role in the optimal feedback control framework (OFC) [26,27], which ...
. For example, Yuan et al. [25] proposed an e-taxi charging scheduling model under a receding horizon control framework allowing partial recharging to minimize taxi fleet idle time under dynamic taxi demand ...
solution. For the second scenario, i.e. the frequently changing system environment, a two -stage online algorithm is proposed to adaptively obtain the current optimal solution in real time . Simulation results ...
is the recovery point, and th is the time horizon of the analysis. Other metrics have been created to follow the evolution of resilience over time . For example, Ouyang and Wang [49] proposed a metric that compares ...
in a synchronized manner. Moreover, as the complexity of missions increases, robots may also be required to evolve in aggressive and time -varying environments. This requires control policies that guarantee increased ...
] and stochastic optimal control theory [26] and includes circuitry for perception, expected reward, selection bias, decision-making and effort cost. We show that the complex problem of action selection ...
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