General decay synchronization stability for a class of delayed chaotic neural networks with discontinuous activations

被引：39
|
作者：
Wang, Leimin [1 ,2 ]
Shen, Yi [1 ,2 ]
Zhang, Guodong [3 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
[2] Minist China, Key Lab Image Proc & Intelligent Control Educ, Wuhan 430074, Peoples R China
[3] South Cent Univ Nationalities, Coll Math & Stat, Wuhan 430074, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 179卷
基金：
美国国家科学基金会; 中国国家自然科学基金;
关键词：
Delayed neural networks; Discontinuous activations; General decay synchronization; Decay function; TIME-VARYING DELAYS; ROBUST SYNCHRONIZATION; IMPULSIVE SYNCHRONIZATION; GLOBAL CONVERGENCE; FINITE-TIME; SYSTEMS;
D O I：
10.1016/j.neucom.2015.11.077
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 is concerned with the synchronization problem for a class of delayed chaotic neural networks with discontinuous activations. First a lemma which concerns stability in general decay rate is constructed. Based on this lemma, the general decay synchronization stability criteria of discontinuous neural networks are derived via a designed controller. The general decay synchronization is obtained by introducing a decay function and it contains exponential synchronization and polynomial synchronization as its two special cases. Finally, two examples are given to verify the effectiveness of the obtained results. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：169 / 175
页数：7
相关论文
共 50 条
  • [31] Chaotic synchronization of delayed neural networks
    Tu, FH
    Liao, XF
    Li, CD
    ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS, 2005, 3496 : 346 - 350
  • [32] Global Output Convergence of a Class of Recurrent Delayed Neural Networks with Discontinuous Neuron Activations
    Guo, Zhenyuan
    Huang, Lihong
    NEURAL PROCESSING LETTERS, 2009, 30 (03) : 213 - 227
  • [33] Periodicity and global exponential periodic synchronization of delayed neural networks with discontinuous activations and impulsive perturbations
    He, Zhilong
    Li, Chuandong
    Cao, Zhengran
    Li, Hongfei
    NEUROCOMPUTING, 2021, 431 : 111 - 127
  • [34] Global Output Convergence of a Class of Recurrent Delayed Neural Networks with Discontinuous Neuron Activations
    Zhenyuan Guo
    Lihong Huang
    Neural Processing Letters, 2009, 30 : 213 - 227
  • [35] Improved switching controllers for finite-time synchronization of delayed neural networks with discontinuous activations
    Cai, Zuowei
    Huang, Lihong
    Zhang, Lingling
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (15): : 6692 - 6723
  • [36] Finite-Time Synchronization of Complex-Valued Delayed Neural Networks with Discontinuous Activations
    Wu, Enli
    Yang, Xinsong
    Xu, Chen
    Alsaadi, Fuad E.
    Hayat, Tasawar
    ASIAN JOURNAL OF CONTROL, 2018, 20 (06) : 2237 - 2247
  • [37] Global Exponential Synchronization of Delayed Complex-Valued Recurrent Neural Networks with Discontinuous Activations
    Duan, Lian
    Shi, Min
    Wang, Zengyun
    Huang, Lihong
    NEURAL PROCESSING LETTERS, 2019, 50 (03) : 2183 - 2200
  • [38] Almost periodicity for a class of delayed Cohen-Grossberg neural networks with discontinuous activations
    Wang, Jiafu
    Huang, Lihong
    CHAOS SOLITONS & FRACTALS, 2012, 45 (9-10) : 1157 - 1170
  • [39] Global Exponential Synchronization of Delayed Complex-Valued Recurrent Neural Networks with Discontinuous Activations
    Lian Duan
    Min Shi
    Zengyun Wang
    Lihong Huang
    Neural Processing Letters, 2019, 50 : 2183 - 2200
  • [40] Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations
    Wang, Leimin
    Zeng, Zhigang
    Hu, Junhao
    Wang, Xiaoping
    NEURAL NETWORKS, 2017, 87 : 122 - 131
12345