Adaptive fuzzy finite-time fault-tolerant control for switched nonlinear large-scale systems with actuator and sensor faults

被引：51
|
作者：
Zhang, Jing [1 ]
Li, Shi [1 ]
Xiang, Zhengrong [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 16期
基金：
中国国家自然科学基金;
关键词：
DYNAMIC SURFACE CONTROL; OUTPUT-FEEDBACK CONTROL; TRACKING CONTROL; PRESCRIBED PERFORMANCE; STABILIZATION; DESIGN; STABILITY;
D O I：
10.1016/j.jfranklin.2019.09.005
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 paper investigates the problem of decentralized adaptive fuzzy finite-time control for switched nonlinear large-scale systems with actuator and sensor faults. To estimate unmeasured system states, a state observer is constructed based on the actual measurement value. Fuzzy logic systems are employed to approximate unknown nonlinear functions. By combining the common Lyapunov function approach and the recursive design method, a decentralized fault-tolerant controller is designed. It can be proven that all states of the closed-loop system are bounded and the tracking error can converge to a small neighborhood of the origin in finite time under arbitrary switchings. Finally, simulation results are given to verify the effectiveness of the proposed scheme. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：11629 / 11644
页数：16
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