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Event-Triggered Adaptive Fuzzy Tracking Control for Nonlinear Systems
International Journal of Fuzzy Systems ( IF 3.6 ) Pub Date : 2020-06-03 , DOI: 10.1007/s40815-020-00872-3
Baomin Li , Jianwei Xia , Huasheng Zhang , Hao Shen , Zhen Wang

In this paper, the problem of event-triggered adaptive fuzzy tracking control for nonlinear systems with external disturbance is explored. The fuzzy logic system method is utilized to design the event-triggered adaptive controller under two different event-triggered mechanisms to ensure that the tracking error converges to zero in any small neighborhood, and all the signals in the closed loop systems are bounded. In addition, two different ways are given to prove that the Zeno phenomenon will not occur. Finally, two simulation examples are given to demonstrate the validity of the proposed control scheme.

中文翻译:

非线性系统的事件触发自适应模糊跟踪控制

本文研究了具有外部干扰的非线性系统的事件触发自适应模糊跟踪控制问题。利用模糊逻辑系统方法设计了两种不同的事件触发机制下的事件触发自适应控制器,以确保跟踪误差在任何小邻域内均收敛为零,并且闭环系统中的所有信号均是有界的。另外,给出了两种不同的方法来证明芝诺现象不会发生。最后,给出了两个仿真例子来说明所提控制方案的有效性。
更新日期:2020-06-03
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