Resilient guaranteed cost control for uncertain T-S fuzzy systems with time-varying delays and Markov jump parameters

被引：17
|
作者：
He, Miao [1 ]
Li, Junmin [1 ]
机构：
[1] Xidian Univ, Sch Math & Stat, Xian 710071, Shaanxi, Peoples R China
来源：
ISA TRANSACTIONS | 2019年 / 88卷
基金：
中国国家自然科学基金;
关键词：
Markov jump systems; Takagi-Sugeno fuzzy systems; Resilient guaranteed cost control; Almost surely asymptotically stable; ROBUST STABILIZATION; NONLINEAR-SYSTEMS; STABILITY; STATE; CONTROLLABILITY; DESIGN;
D O I：
10.1016/j.isatra.2018.11.034
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 aims to investigate the problem of resilient guaranteed cost control for uncertain Takagi-Sugeno fuzzy systems with Markov jump parameters and time-varying delay. A resilient mode-dependent fuzzy controller is designed and a weak sufficient condition is developed to ensure that the resulting closed-loop system is robust almost surely asymptotically stable with guaranteed cost index not exceeding the specified upper bound. Subsequently, the controller gain and upper bound of the guaranteed cost index can be obtained by solving a set of linear matrix inequalities. Finally, numerical and practical examples of the single-link robot arm system are provided to demonstrate the performance of the proposed approach. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：12 / 22
页数：11
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