Observer-Based Adaptive Fuzzy Command Filtered Backstepping Control for Stochastic Nonlinear Systems with Event-Triggered Mechanism

This paper is devoted to the problem of adaptive fuzzy command filtered backstepping for stochastic nonlinear system with event-triggered strategy. The presence of the unknown functions and the unmeasured states is evaluated through fuzzy logic systems and fuzzy state observers. In the controller design, an adaptive tracking scheme is proposed to overcome complexity explosion problem by command filtering control technique, and the compensation signals are designed for eliminating the errors resulted by command filters. Finally, an improved event-triggered co-design control scheme has a variable threshold which can reduce the communication burden. The proposed fuzzy adaptive control approach can guarantee that all the signals of the closed-loop system are uniformly and ultimately bounded, and the tracking error can converge to a small neighborhood of the origin. The feasibility of the control method is shown through the simulation results.