Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay

被引：39
|
作者：
Li, Wenxing [1 ]
Feng, Zhiguang [2 ]
Sun, Weichao [3 ]
Zhang, Jiawei [4 ]
机构：
[1] Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China
[2] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
[3] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
[4] Univ Wollongong, Sch Mech Mat & Mechatron Engn, Northfields Ave, Wollongong, NSW 2522, Australia
来源：
NEUROCOMPUTING | 2016年 / 205卷
基金：
中国国家自然科学基金;
关键词：
Admissibility; T-S fuzzy; Singular system; Time delay; MARKOVIAN JUMP SYSTEMS; NONLINEAR NETWORKED SYSTEMS; H-INFINITY CONTROL; STABILITY ANALYSIS; ROBUST STABILITY; COMPLEX NETWORKS; NEURAL-NETWORKS; VARYING DELAYS; DISCRETE; MODEL;
D O I：
10.1016/j.neucom.2016.04.035
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The issue of admissibility analysis for Takagi-Sugeno (T-S) fuzzy singular system with time delay is investigated in this paper. By adopting a novel tighter integral inequality, a sufficient delay-dependent criterion is built on the basis of strict linear matrix equalities (LMIs), which guarantees the admissibility of the considered system. A numerical example shows that the proposed method is efficient and less conservative. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：336 / 340
页数：5
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