Delay-dependent exponential stability analysis for discrete-time switched neural networks with time-varying delay

被引：59
|
作者：
Wu, Zheng-Guang [1 ]
Shi, Peng [2 ,3 ]
Su, Hongye [1 ]
Chu, Jian [1 ]
机构：
[1] Zhejiang Univ, Inst Cyber Syst & Control, Natl Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Glamorgan, Dept Comp & Math Sci, Pontypridd CF37 1DL, M Glam, Wales
[3] Victoria Univ, Sch Sci & Engn, Melbourne, Vic 8001, Australia
来源：
NEUROCOMPUTING | 2011年 / 74卷 / 10期
基金：
国家高技术研究发展计划(863计划); 英国工程与自然科学研究理事会;
关键词：
Switched neural networks; Time-varying delays; Exponential stability; Average dwell time; Linear matrix inequality (LMI); ROBUST STABILITY; ASYMPTOTIC STABILITY; MODEL-REDUCTION; SYSTEMS; CRITERIA;
D O I：
10.1016/j.neucom.2011.01.015
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we focus on the stability problem for discrete-time switched neural networks with time-varying delay resorting to the average dwell time method. In terms of linear matrix inequality approach, a delay-dependent sufficient condition of exponential stability is developed for a kind of switching signal with average dwell time. A numerical example is given to show the validness of the established result. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：1626 / 1631
页数：6
相关论文
共 50 条
  • [21] Delay-Dependent Criterion for Exponential Stability Analysis of Neural Networks with Time-Varying Delays
    Farnam, Arash
    Esfanjani, Reza Mahboobi
    Ahmadi, Aghil
    IFAC PAPERSONLINE, 2016, 49 (10): : 130 - 135
  • [22] Improved Delay-dependent Stability Criteria for Discrete-time Systems with Time-varying Delay
    Liu, Yingying
    Yang, Guanghong
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 2835 - 2839
  • [23] Improved delay-dependent stability criteria for discrete-time stochastic neural networks with time-varying delays
    Luo, Meng-zhuo
    Zhong, Shou-ming
    CEIS 2011, 2011, 15
  • [24] Improved exponential stability criteria for discrete-time neural networks with time-varying delay
    Liu, Zixin
    Lue, Shu
    Zhong, Shouming
    Ye, Mao
    NEUROCOMPUTING, 2010, 73 (4-6) : 975 - 985
  • [25] Exponential stability criteria for discrete-time recurrent neural networks with time-varying delay
    Yu, Jianjiang
    Zhang, Kanjian
    Fei, Shumin
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2010, 11 (01) : 207 - 216
  • [26] Delay-dependent Stability of Recurrent Neural Networks with Time-varying Delay
    Zhang, Guobao
    Xiong, Jing-Jing
    Huang, Yongming
    Lu, Yong
    Wang, Ling
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2018, 24 (03): : 541 - 551
  • [27] Improved Criteria on Delay-Dependent Stability for Discrete-Time Neural Networks with Interval Time-Varying Delays
    Kwon, O. M.
    Park, M. J.
    Park, Ju H.
    Lee, S. M.
    Cha, E. J.
    ABSTRACT AND APPLIED ANALYSIS, 2012,
  • [28] Delay-dependent exponential stability for neutral stochastic Markov neural networks with time-varying delay
    Chen, Huabin
    Shi, Peng
    Lim, Cheng-Chew
    2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 719 - 724
  • [29] Delay-dependent exponential stability of cellular neural networks with time-varying delays
    Zhang, Q
    Wei, XP
    Xu, J
    CHAOS SOLITONS & FRACTALS, 2005, 23 (04) : 1363 - 1369
  • [30] New Delay-Dependent Stability of Uncertain Discrete-Time Switched Systems with Time-Varying Delays
    Liang Lin XIONG 1
    2.School of Applied Mathematics
    3.Key Laboratory for NeuroInformation of Ministry of Education
    4.School of Computer Science and Engineering
    Journal of Mathematical Research with Applications, 2011, (02) : 224 - 232
12345