Adaptive tracking control for a class of stochastic switched systems with stochastic input-to-state stable inverse dynamics and input saturation

摘要

This paper focuses on the adaptive tracking control for a class of stochastic switched systems. Firstly, a new exponentially practical stability criterion in the moment sense is established for stochastic switched systems, which improves the previous stability criteria in existing literature. Secondly, an adaptive tracking controller based on the stochastic backstepping method is constructed for a class of stochastic systems with stochastic input-to-state stable (SISS) inverse dynamics and input saturation under arbitrary switching strategy. The corresponding closed-loop system is fourth moment exponentially practically stable and the tracking error can be regulated small enough by the obtained stability results. Finally, simulation examples verify the feasibility and effectiveness of the obtained results. (C) 2019 Elsevier B.V. All rights reserved.