Adaptive Fuzzy Output Feedback Tracking Control for Uncertain Nonstrict Feedback Systems With Variable Disturbances via Event-Triggered Mechanism

被引：12
|
作者：
Chen, Jian [1 ]
Lam, Hak-Keung [2 ]
Yu, Jinpeng [3 ]
机构：
[1] Qingdao Univ Technol, Sch Informat & Control Engn, Qingdao 266520, Peoples R China
[2] Kings Coll London, Dept Engn, London WC2R 2LS, England
[3] Qingdao Univ, Sch Automat Engn, Qingdao 266071, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2023年 / 53卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Observers; Adaptive systems; Output feedback; Nonlinear systems; Fuzzy logic; Fuzzy control; Backstepping; Adaptive fuzzy control; event-triggered; fuzzy observer; nonstrict feedback; output feedback; NONLINEAR-SYSTEMS; OBSERVER; FILTER; INPUT; SUBJECT; DESIGN;
D O I：
10.1109/TSMC.2022.3190091
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article studies the adaptive fuzzy event-triggered output feedback control for nonlinear systems. The systems have the nonstrict feedback structure and variable disturbances simultaneously. A fuzzy state observer with an adaptive parameter is first proposed, and a less conservative condition to solve the observer gains is obtained. By constructing the command filter, the compensator, the fuzzy controller, the event-triggered mechanism, and the adaptive parameter, the adaptive fuzzy output feedback control scheme is built to guarantee that all the signals of the closed-loop systems are bounded, and the tracking errors are less than a prescribed accuracy in finite time. Simulation examples confirm the effectiveness of the proposed method.
引用
收藏
页码：922 / 933
页数：12
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