Decentralized Event-Triggered Synchronization for Discrete-Time Memristive Neural Networks

被引：0
作者：
Li, Huiyuan [1 ]
Zhang, Wenbing [2 ]
Fang, Jian-an [1 ]
Li, Xiaofan [1 ,3 ]
机构：
[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
[2] Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China
[3] Yancheng Inst Technol, Sch Elect Engn, Yancheng 224051, Peoples R China
来源：
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2019年
基金：
中国国家自然科学基金;
关键词：
CONSENSUS; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the exponential synchronization problem for a class of discrete-time memristive neural networks with time delays is studied. A decentralized event-triggered control strategy is designed. Then, sufficient synchronization conditions are established by adopting the designed event-triggered control strategy and constructing an appropriate Lyapunov-Krasovskii functional. Finally, a numerical example is presented to verify the effectiveness of the theoretical results.
引用
收藏
页码：1367 / 1372
页数：6
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    Hu, Xiaofang
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    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (06) : 1202 - 1213
  • [2] Exponential adaptive synchronization of stochastic memristive chaotic recurrent neural networks with time-varying delays
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    [J]. NEUROCOMPUTING, 2017, 267 : 396 - 405
  • [3] Master-slave exponential synchronization of delayed complex-valued memristor-based neural networks via impulsive control
    Li, Xiaofan
    Fang, Jian-an
    Li, Huiyuan
    [J]. NEURAL NETWORKS, 2017, 93 : 165 - 175
  • [4] Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis
    Liu, Yurong
    Wang, Zidong
    Serrano, Alan
    Liu, Xiaohui
    [J]. PHYSICS LETTERS A, 2007, 362 (5-6) : 480 - 488
  • [5] Synchronizability, controllability and observability of networked multi-agent systems
    Tang, Yang
    Gao, Huijun
    Shi, Yang
    Kurths, Juergen
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (09): : 3405 - 3409
  • [6] Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses
    Tang, Yang
    Gao, Huijun
    Zhang, Wenbing
    Kurths, Juergen
    [J]. AUTOMATICA, 2015, 53 : 346 - 354
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    Zha, Lijuan
    Tian, Engang
    Xie, Xiangpeng
    Gu, Zhou
    Cao, Jie
    [J]. INFORMATION SCIENCES, 2018, 457 : 141 - 155
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    Zhang, Wenbing
    Tang, Yang
    Huang, Tingwen
    Vasilakos, Athanasios V.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (02) : 535 - 544
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    Zhang, Wenbing
    Tang, Yang
    Liu, Yurong
    Kurths, Juergen
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2017, 64 (03) : 619 - 629
  • [10] Stochastic Stability of Delayed Neural Networks With Local Impulsive Effects
    Zhang, Wenbing
    Tang, Yang
    Wong, Wai Keung
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    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (10) : 2336 - 2345
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