Adaptive output-feedback DSC of nonstrict-feedback switched stochastic nonlinear with time delays

摘要

This note is devoted to the output dynamic surface control (DSC) design for a class of nonlinear switched stochastic time-varying delay systems. Based on a switched state observer and an appropriate stochastic Lyapunov-Krasovskii functional as well as the adaptive neural network (NN) technique, a novel adaptive NN control scheme is developed. On the basis of Lyapunov theory and the average dwell time approach, the analysis is conducted on semiglobal uniformly ultimately boundedness (SGUUB) and tracking error convergence the resulting closed-loop system. Finally, simulation results illustrate the effectiveness and potential of the approach developed in the note.