This paper investigates the problem of adaptive fuzzy control on the basis of an event-triggered mechanism for nonlinear strict-feedback systems with time-varying external disturbances and virtual control coefficients in the presence of actuator failures. Virtual control coefficients are correlated with the designed adaptive law and control signal. In the backstepping technique procedure, fuzzy logic systems are utilized to approximate an unknown nonlinear function, and the tuning function is implemented to cope with the destabilizing problem of the control design. To save communication resources, an adaptive fuzzy event-triggered control strategy is developed to update the control input when the triggering condition is satisfied. Then, all of the closed-loop signals can remain semi-globally uniformly ultimately bounded. The Zeno behavior can be excluded. Finally, a numerical example and a real system are provided to illustrate the effectiveness of the proposed approach.

中文翻译：

---

基于事件触发机制的具有虚拟控制系数和不确定干扰的非线性严格反馈系统自适应智能控制

本文研究了基于事件触发机制的非线性严格反馈系统的自适应模糊控制问题，该非线性严格反馈系统具有时变的外部干扰和虚拟控制系数，并且存在执行器故障。虚拟控制系数与设计的自适应定律和控制信号相关。在后推技术程序中，利用模糊逻辑系统来近似未知的非线性函数，并实施调整函数以解决控制设计的不稳定问题。为了节省通信资源，开发了一种自适应模糊事件触发控制策略，以在满足触发条件时更新控制输入。然后，所有的闭环信号都可以保持半全局一致地最终有界。可以排除芝诺行为。最后，提供了一个数值示例和一个实际系统来说明所提出方法的有效性。