In this paper, the problem of event-triggered mechanism based adaptive fuzzy tracking control is studied for strict-feedback stochastic nonlinear systems. The fuzzy logic systems are introduced to approximate the unknown nonlinear terms. A novel event-triggered tracking controller is designed by incorporating the backstepping design approach with the method of fuzzy control. The newly designed controller not only ensures that the output signal tracks the given reference signal within a sufficiently small neighborhood of the origin, but also ensures that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded in the sense of the four-moment. Meanwhile, an event-triggered control mechanism is introduced to reduce the communication burden from the controller to the actuator. Finally, simulation results demonstrate the effectiveness of the designed controller.

针对严格反馈的随机非线性系统，研究了基于事件触发机制的自适应模糊跟踪控制问题。引入模糊逻辑系统来近似未知的非线性项。通过将反推设计方法与模糊控制方法相结合，设计了一种新颖的事件触发跟踪控制器。新设计的控制器不仅可以确保输出信号在原点的足够小的邻域内跟踪给定的参考信号，而且还可以确保闭环系统中的所有信号最终在全局意义上是半全局一致的四时。同时，引入了事件触发的控制机制以减少从控制器到执行器的通信负担。最后，