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.

本文重点研究一类具有非严格反馈结构和死区输入的随机非线性系统的自适应模糊跟踪控制问题。通过引入模糊逻辑系统，克服了未知非线性函数和非严格反馈带来的困难。考虑到非对称死区输入，将模糊逻辑系统集成到反推技术中，构建了自适应跟踪控制器。该控制器不仅可以实现跟踪误差小的输出信号跟踪参考信号，而且可以保证闭环系统中的所有信号在概率上是有界的。最后，提出了一个例子来证明所提出的控制方案的有效性。