Due to the frequent occurrence of random disturbances in practical physical systems, the control design of stochastic systems has a significant application background. This article presents an event-triggered adaptive fuzzy control scheme for nonstrict-feedback switched stochastic nonlinear systems with state constraints. The barrier Lyapunov functions are deployed to make all states maintain the prescribed regions. In addition, the event-triggered mechanism is incorporated into the backstepping framework to mitigate the data transmission. The fuzzy logic systems are exploited to cope with the system uncertainties, and then the adaptive fuzzy control strategy is recursively constructed. The devised event-triggered adaptive fuzzy controller can not only surmount the influence of state constraints but also decrease unnecessary resource consumption. In virtue of common Lyapunov function method, it is shown that all system signals are bounded under switching signals and the predefined constraints are not violated. Finally, the validity of the presented scheme is elucidated by simulation results.

由于实际物理系统中随机扰动的频繁发生，随机系统的控制设计具有重要的应用背景。本文提出了一种事件触发的自适应模糊控制方案，用于具有状态约束的非严格反馈切换随机非线性系统。屏障李雅普诺夫函数的作用是使所有状态保持规定的区域。此外，事件触发机制被纳入反推框架以减轻数据传输。利用模糊逻辑系统来应对系统的不确定性，然后递归构建自适应模糊控制策略。所设计的事件触发自适应模糊控制器不仅可以克服状态约束的影响，还可以减少不必要的资源消耗。借助常用的李雅普诺夫函数方法，表明所有系统信号都在开关信号下有界，并且不违反预定义的约束。最后，通过仿真结果阐明了所提出方案的有效性。