The tracking problem of the fractional-order nonlinear systems is assessed by extending new event-triggered control designs. The considered dynamics are accompanied by the uncertain strict-feedback form, unknown actuator faults and unknown disturbances. By using the neural networks and the fault compensation method, two adaptive fault compensation event-triggered schemes are designed. Unlike the available control designs, two static and dynamic event-triggered strategies are proposed for the nonlinear fractional-order systems, in a sense that the minimum/average time-interval between two successive events can be prolonged in the dynamic event-triggered approach. Besides, it is proven that the Zeno phenomenon is strictly avoided. Finally, the simulation results prove the effectiveness of the presented control methods.

通过扩展新的事件触发控制设计来评估分数阶非线性系统的跟踪问题。所考虑的动力学伴随着不确定的严格反馈形式、未知的执行器故障和未知的干扰。利用神经网络和故障补偿方法，设计了两种自适应故障补偿事件触发方案。与可用的控制设计不同，非线性分数阶系统提出了两种静态和动态事件触发策略，从某种意义上说，动态事件触发方法可以延长两个连续事件之间的最小/平均时间间隔。此外，已证明严格避免芝诺现象。最后，仿真结果证明了所提出的控制方法的有效性。