Global Lagrange Stability for Takagi-Sugeno Fuzzy Cohen-Grossberg BAM Neural Networks with Time-varying Delays

被引：12
|
作者：
Wang, Jingfeng [1 ]
Tian, Lixin [2 ]
Zhen, Zaili [1 ]
机构：
[1] Jiangsu Univ, Sch Fac Sci, 301 Xuefu Rd, Zhenjiang 212013, Peoples R China
[2] Nanjing Normal Univ, Sch Math Sci, 1 Yuen Rd, Nanjing 210046, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2018年 / 16卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Cohen-Grossberg BAM neural networks; Lagrange stability; Lyapunov functional; time-varying delays; T-S fuzzy model; EXPONENTIAL STABILITY; NEUTRAL-TYPE; ASYMPTOTIC STABILITY; PERIODIC-SOLUTION; SYNCHRONIZATION; STABILIZATION; SYSTEMS; EXISTENCE; DISCRETE; DESIGN;
D O I：
10.1007/s12555-017-0618-9
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 concerns the globally exponential stability in Lagrange sense for Takagi-Sugeno (T-S) fuzzy Cohen-Grossberg BAM neural networks with time-varying delays. Based on the Lyapunov functional method and inequality techniques, two different types of activation functions which include both Lipschitz function and general activation functions are analyzed. Several sufficient conditions in linear matrix inequality form are derived to guarantee the Lagrange exponential stability of Cohen-Grossberg BAM neural networks with time-varying delays which are represented by T-S fuzzy models. Finally, simulation results demonstrate the effectiveness of the theoretical results.
引用
收藏
页码：1603 / 1614
页数：12
相关论文
共 50 条
  • [31] Stability analysis of Takagi-Sugeno fuzzy cellular neural networks with time-varying delays
    Hou, Yi-You
    Liao, Teh-Lu
    Yan, Jun-Juh
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (03): : 720 - 726
  • [32] Global Robust Exponential Stability for Cohen-Grossberg Neural Networks with Time-varying Delays
    Li, Xiaolin
    Jia, Jia
    2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 829 - 833
  • [33] Global exponential stability of Cohen-Grossberg neural networks with time-varying delays and impulses
    祝庆
    梁芳
    张青
    Advances in Manufacturing, 2009, (03) : 255 - 259
  • [34] Global exponential stability Cohen-Grossberg neural networks with multiple time-varying delays
    Yuan, K
    Cao, JD
    ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 3173 : 78 - 83
  • [35] Global asymptotic stability of Cohen-Grossberg neural networks with mixed time-varying delays
    Jiang, Haijun
    Mei, Xuehui
    ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 2007, 4491 : 1008 - +
  • [36] Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays
    Deng, J
    Xu, DY
    Yang, ZC
    ICECS 2004: 11TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, 2004, : 230 - 233
  • [37] Stability analysis for Cohen-Grossberg neural networks with time-varying delays
    Chen, Wu-Hua
    Zheng, Wei Xing
    2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 3630 - 3633
  • [38] Stability Analysis of Cohen-Grossberg Neural Networks with Time-Varying Delays
    刘艳青
    唐万生
    Transactions of Tianjin University, 2007, (01) : 12 - 17
  • [39] Stability conditions for Cohen-Grossberg neural networks with time-varying delays
    Lien, Chang-Hua
    Yu, Ker-Wei
    Lin, Yen-Feng
    Chung, Yeong-Jay
    Chung, Long-Yeu
    PHYSICS LETTERS A, 2008, 372 (13) : 2264 - 2268
  • [40] Global asymptotical stability of Cohen-Grossberg neural networks with time-varying and distributed delays
    Chen, Tianping
    Lu, Wenlian
    ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1, 2006, 3971 : 192 - 197
12345