Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems with Nonstrict-Feedback and Dead Zone

This paper focuses on the adaptive fuzzy tracking control problem for a class of stochastic nonlinear systems with nonstrict-feedback structure and dead zone input. By introducing fuzzy logic system, the difficulties caused by unknown nonlinear functions and nonstrict-feedback are overcome. Considering the asymmetric dead zone input, an adaptive tracking controller is constructed by integrating the fuzzy logic system into the backstepping technology. The controller can not only realize the output signal tracking reference signal with a small tracking error, but also ensure that all signals in the closed-loop system are bounded in probability. Finally, an example is proposed to demonstrate the effectiveness of the proposed control scheme.