Stability and stabilization of T-S fuzzy systems with variable delays via new Bessel-Legendre polynomial based relaxed integral inequality

被引:30
作者
Datta, Rupak [1 ]
Dey, Rajeeb [2 ]
Bhattacharya, Baby [1 ]
Saravanakumar, Ramasamy [3 ]
Kwon, Oh-Min [4 ]
机构
[1] Natl Inst Technol, Dept Math, Agartala 799046, India
[2] Natl Inst Technol, Dept Elect Engn, Silchar 788010, India
[3] Hiroshima Univ, Grad Sch Engn, 1-4-1 Kagamiyama, Higashihiroshima 7398527, Japan
[4] Chungbuk Natl Univ, Sch Elect Engn, 1 Chungdae Ro, Cheongju 28644, South Korea
基金
日本学术振兴会;
关键词
Takagi-Sugeno (T-S) fuzzy system; Lyapunov-Krasovskii functional (LKF); Delay-range-dependent stability (DRD); Linear matrix inequality (LMI); Variable delay; TIME-VARYING DELAY; H-INFINITY CONTROL; NEURAL-NETWORKS; CRITERIA;
D O I
10.1016/j.ins.2020.02.060
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 delay-range-dependent (DRD) stability problem in regards to continuous time Takagi-Sugeno (T-S) fuzzy system with variable delays. First, a new integral inequality Lemma referred herein as higher order polynomial based relaxed integral inequality (HOPBRII) is proposed to reduce the estimation gap of the current work with that of Bessel-Legendre polynomial based inequality (BLPBI). Next, a suitable Lyapunov-Krasovskii functional (LKF) is constructed with delay product terms and then using the proposed inequality, suitable condition for DRD stability and stabilization condition of the considered T-S fuzzy system are derived in a linear matrix inequality (LMI) framework. To analyse the advantage theoretically and less conservatism of the proposed method, a new DRD stability condition using similar LKFs and the BLPBI approach is further derived herein. Finally, the efficacy of the proposed stability and stabilization conditions are validated through the solutions of four numerical examples. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:99 / 123
页数:25
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