Adaptive Fuzzy Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Actuator Faults

This paper investigates an adaptive fuzzy tracking control problem for nonlinear stochastic nonstrict-feedback systems with unknown control directions and actuator faults. Based on the monotonically increasing property of system bounding functions, a variable separation scheme is invoked to overcome the research difficulty from nonlower triangular structure. Combining adaptive backstepping method with fuzzy logic system's approximation capability, an adaptive fuzzy fault tolerant controller is designed. The presented control algorithm makes not only the tracking error as small as possible but also the closed-loop trajectory bounded in the sense of the four-moment. Finally, simulation results are depicted to address the effectiveness of the studied control method.