Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems

被引：271
|
作者：
Sun, Kangkang [1 ,2 ]
Liu, Lu [3 ]
Qiu, Jianbin [1 ,2 ]
Feng, Gang [3 ]
机构：
[1] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150080, Peoples R China
[2] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150080, Peoples R China
[3] City Univ Hong Kong, Dept Biomed Engn, Kowloon, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2021年 / 29卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Nonlinear systems; Asymptotic stability; Closed loop systems; Fault tolerance; Fault tolerant systems; Stability criteria; Fault-tolerant control; finite-time stability; fuzzy adaptive control; strict-feedback systems;
D O I：
10.1109/TFUZZ.2020.2965890
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is reduced by adopting the dynamic surface control technique. Under the framework of finite-time stability, a novel fault-tolerant control strategy is designed so that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set in a finite time. Finally, simulation studies for an electromechanical system are shown to verify the feasibility of the presented approach.
引用
收藏
页码：786 / 796
页数：11
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