Impulsive Multisynchronization of Coupled Multistable Neural Networks With Time-Varying Delay

被引：116
|
作者：
Wang, Yan-Wu [1 ,2 ]
Yang, Wu [1 ,2 ]
Xiao, Jiang-Wen [1 ,2 ]
Zeng, Zhi-Gang [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Minist Educ, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2017年 / 28卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Coupled delayed multistable neural networks (NNs); directed topology; impulsive control strategy; multisynchronization; GLOBAL SYNCHRONIZATION; STABILITY ANALYSIS; EXPONENTIAL SYNCHRONIZATION; ASYMPTOTIC STABILITY; ROBUST STABILITY; GENERAL-CLASS; SYSTEMS; CRITERIA; CONSENSUS; ARRAYS;
D O I：
10.1109/TNNLS.2016.2544788
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper studies the synchronization problem of coupled delayed multistable neural networks (NNs) with directed topology. To begin with, several sufficient conditions are developed in terms of algebraic inequalities such that every subnetwork has multiple locally exponentially stable periodic orbits or equilibrium points. Then two new concepts named dynamical multisynchronization (DMS) and static multisynchronization (SMS) are introduced to describe the two novel kinds of synchronization manifolds. Using the impulsive control strategy and the Razumikhin-type technique, some sufficient conditions for both the DMS and the SMS of the controlled coupled delayed multistable NNs with fixed and switching topologies are derived, respectively. Simulation examples are presented to illustrate the effectiveness of the proposed results.
引用
收藏
页码：1560 / 1571
页数：12
相关论文
共 50 条
  • [1] Dynamical and Static Multisynchronization of Coupled Multistable Neural Networks via Impulsive Control
    Lv, XiaoXiao
    Li, Xiaodi
    Cao, Jinde
    Perc, Matjaz
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (12) : 6062 - 6072
  • [2] Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control
    Zhang, Jin-E
    COMPLEXITY, 2017,
  • [3] Hybrid multisynchronization of coupled multistable memristive neural networks with time delays
    Yao, Wei
    Wang, Chunhua
    Cao, Jinde
    Sun, Yichuang
    Zhou, Chao
    NEUROCOMPUTING, 2019, 363 : 281 - 294
  • [4] Synchronization of coupled neural networks with time-varying delay
    Zhang, Jin
    Gao, Yanbo
    NEUROCOMPUTING, 2017, 219 : 154 - 162
  • [5] Exponential Synchronization for Coupled Neural Networks with Time-varying Delay under Single Impulsive Controller
    Tang, Ze
    Park, Ju H.
    Jung, H. Y.
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1708 - 1713
  • [6] Boundedness and stability for the solutions of impulsive neural networks with time-varying delay
    Lou, Xuyang
    Wang, Ruliang
    Cui, Baotong
    IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 1946 - +
  • [7] Passivity analysis of impulsive coupled reaction-diffusion neural networks with and without time-varying delay
    Wei, Pu-Chong
    Wang, Jin-Liang
    Huang, Yan-Li
    Xu, Bei-Bei
    Ren, Shun-Yan
    NEUROCOMPUTING, 2015, 168 : 13 - 22
  • [8] Impulsive Exponential Synchronization of Coupled Fuzzy Neural Networks with Time-Varying Delays
    Zhou, Jianting
    Song, Qiankun
    Yang, Jianxi
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS, 2009, 5551 : 482 - +
  • [9] New delay-dependent stability criteria for impulsive neural networks with time-varying delay
    Ji Yan
    Liu Ximei
    Wang Longjin
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 3075 - 3079
  • [10] Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay
    Bao, Haibo
    Park, Ju H.
    Cao, Jinde
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (01) : 190 - 201
12345