Event-Triggered Adaptive Fuzzy Tracking Control for Nonlinear Systems

被引：31
|
作者：
Li, Baomin [1 ]
Xia, Jianwei [1 ]
Zhang, Huasheng [1 ]
Shen, Hao [2 ]
Wang, Zhen [3 ]
机构：
[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252000, Shandong, Peoples R China
[2] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266590, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2020年 / 22卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Tracking control; Event-triggered control; Adaptive fuzzy control; BACKSTEPPING CONTROL; FEEDBACK; NETWORK;
D O I：
10.1007/s40815-020-00872-3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1389 / 1399
页数：11
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