Robust Exponential Stability Criteria for T-S Fuzzy Stochastic Delayed Neural Networks of Neutral Type

被引：12
|
作者：
Muralisankar, S. [1 ]
Gopalakrishnan, N. [1 ]
Balasubramaniam, P. [2 ]
机构：
[1] Madurai Kamaraj Univ, Sch Math, Madurai 625021, Tamil Nadu, India
[2] Gandhigram Rural Univ, Dept Math, Gandhigram 624302, Tamil Nadu, India
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2011年 / 30卷 / 06期
关键词：
Exponential stability; T-S fuzzy model; Stochastic neural network; Neutral delay; Linear matrix inequality; TIME-VARYING DELAYS; GLOBAL ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; SYSTEMS; DISCRETE;
D O I：
10.1007/s00034-011-9283-z
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper is concerned with the problem of robust exponential stability for T-S fuzzy stochastic neural networks of neutral type. Based on the Lyapunov-Krasovskii functional and stochastic analysis approach, new delay-dependent stability criteria are established in terms of linear matrix inequalities (LMIs) which can be checked easily by the LMI Control Toolbox in MATLAB. Finally, numerical examples are given to illustrate the feasibility and effectiveness of the proposed method.
引用
收藏
页码：1617 / 1641
页数：25
相关论文
共 50 条
  • [1] Robust Exponential Stability Criteria for T–S Fuzzy Stochastic Delayed Neural Networks of Neutral Type
    S. Muralisankar
    N. Gopalakrishnan
    P. Balasubramaniam
    [J]. Circuits, Systems, and Signal Processing, 2011, 30
  • [2] Exponential Stability of Neutral T-S Fuzzy Neural Networks with Impulses
    Long, Shujun
    Li, Bing
    [J]. ADVANCES IN NEURAL NETWORKS, PT II, 2017, 10262 : 66 - 74
  • [3] Improved results on robust exponential stability criteria for neutral-type delayed neural networks
    Mahmoud, Magdi S.
    Ismail, Abdulla
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2010, 217 (07) : 3011 - 3019
  • [4] Robust exponential stability of T-S fuzzy delayed systems with nonlinear perturbations
    Ding, Xiuyong
    Shu, Lan
    Liu, Xiu
    [J]. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2013, 42 (01) : 99 - 110
  • [5] Exponential stability analysis for neutral stochastic delayed neural networks
    Hua, Mingang
    Fei, Juntao
    Dai, Weili
    [J]. PROGRESS IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2012, 354-355 : 877 - 880
  • [6] Adaptive synchronization of delayed T-S type fuzzy neural networks
    Xiao, Shunyuan
    Zhang, Yijun
    Zhang, Baoyong
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1726 - 1731
  • [7] Novel Robust Exponential Stability of Markovian Jumping Impulsive Delayed Neural Networks of Neutral-Type with Stochastic Perturbation
    Fang, Yang
    Li, Kelin
    Yan, Yunqi
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [8] Exponential Stability on a Class of Delayed Neural Networks of Neutral Type
    Li Qiaoping
    Li Wenlin
    [J]. PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 2402 - 2406
  • [9] Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks
    Chen, Huabin
    Zhang, Yong
    Hu, Peng
    [J]. NEUROCOMPUTING, 2010, 73 (13-15) : 2554 - 2561
  • [10] NOVEL ROBUST DELAY-DEPENDENT EXPONENTIAL STABILITY CRITERIA FOR STOCHASTIC DELAYED RECURRENT NEURAL NETWORKS
    Zhang, Yijun
    Tian, Engang
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (09): : 2735 - 2744
12345