Reachable set estimation and dissipativity for discrete-time T-S fuzzy singular systems with time-varying delays

被引:29
|
作者
Li, Jiangrong [1 ]
Zhao, Yuxin [2 ]
Feng, Zhiguang [2 ]
Park, Myeongjin [3 ]
机构
[1] Yanan Univ, Coll Math & Comp Sci, Yanan 716000, Shaanxi, Peoples R China
[2] Harbin Engn Univ, Coll Automat, Harbin 150001, Heilongjiang, Peoples R China
[3] Kyung Hee Univ, Ctr Global Converging, Yongin 17104, South Korea
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
T-S fuzzy singular delay system; Reachable set estimation; Dissipativity; Reciprocally convex combination approach; ROBUST STABILIZATION; STABILITY ANALYSIS; DESIGN; ADMISSIBILITY;
D O I
10.1016/j.nahs.2018.08.008
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 studies the problems of reachable set estimation and dissipativity analysis for a class of nonlinear singular system with time-varying delays and bounded input disturbances. The nonlinear singular system is modeled by Takagi-Sugeno (T-S) fuzzy singular delay system. Firstly, based on new Lyapunov-Krasovskii functional, in which the difference of triple-summable terms and both the upper and the lower bound of time-varying delays are considered, and by using the free-weighting matrix technique, reciprocally convex combination approach, a new delay-dependent reachable set estimation and dissipativity condition is obtained. Furthermore, the derived condition can be converted into linear matrix inequalities (LMIs), and it can guarantee the reachable set to be bounded by the intersection of ellipsoids and the T-S fuzzy singular delay system is strictly (G(1), G(2), G(3)) - (delta) over tilde - dissipative. Finally, a numerical example is provided to demonstrate the effectiveness of the obtained results in this paper. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:166 / 179
页数:14
相关论文
共 50 条
  • [41] A New Admissibility Condition of Discrete-time Singular Systems with Time-varying Delays
    Yong-Yun Shao 1
    3 Xiao-Dong Liu 1
    2 Xin Sun 3 Zhan Su 4 1 Transportation Management College
    Dalian Maritime University
    Dalian 116026
    China 2 Department of Mathematics
    Dalian Maritime University
    Dalian 116026
    China 3 Department of Computer and Mathematics Teaching
    Shenyang Normal University
    Shenyang 110034
    China 4 Institute of Systems Science
    Northeastern University
    Shenyang 110004
    China
    International Journal of Automation & Computing , 2012, (05) : 480 - 486
  • [43] H∞ filtering of discrete-time switched singular systems with time-varying delays
    Charqi, Mohammed
    Chaibi, Noreddine
    Tissir, El Houssaine
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 34 (04) : 444 - 468
  • [44] A new admissibility condition of discrete-time singular systems with time-varying delays
    Shao Y.-Y.
    Liu X.-D.
    Sun X.
    Su Z.
    International Journal of Automation and Computing, 2012, 9 (5) : 480 - 486
  • [45] State Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems with Time-Varying Delays
    Lei, Ting
    Song, Qiankun
    Liu, Yurong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [46] Reliable stabilization of discrete-time nonlinear singular systems with time-varying delays
    Mathiyalagan, K.
    Ma, Yong-Ki
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2024, 53 (7-8) : 949 - 970
  • [47] Improved admissibility analysis for T-S fuzzy Markovian jump singular systems with time-varying delays
    Liang, Xingyue
    Xu, Shengyuan
    FUZZY SETS AND SYSTEMS, 2024, 492
  • [48] Discrete T-S fuzzy systems with time-varying delays: a new discrete sliding mode control approach
    Ben Yazid, Yassine
    Mehdi, Driss
    Nouri, Ahmed Said
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (07) : 2332 - 2339
  • [49] Stochastic dissipativity analysis on discrete-time neural networks with time-varying delays
    Song, Qiankun
    NEUROCOMPUTING, 2011, 74 (05) : 838 - 845
  • [50] Dissipativity Analysis for Discrete-Time Stochastic Neural Networks With Time-Varying Delays
    Wu, Zheng-Guang
    Shi, Peng
    Su, Hongye
    Chu, Jian
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 24 (03) : 345 - 355