Passivity analysis of impulsive coupled reaction-diffusion neural networks with and without time-varying delay

被引：23
|
作者：
Wei, Pu-Chong [1 ]
Wang, Jin-Liang [1 ]
Huang, Yan-Li [1 ]
Xu, Bei-Bei [1 ]
Ren, Shun-Yan [2 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300387, Peoples R China
来源：
NEUROCOMPUTING | 2015年 / 168卷
基金：
美国国家科学基金会;
关键词：
Coupled reaction-diffusion neural networks; Impulsive effects; Time-varying delay; Input strict passivity; Output strict passivity; NONLINEAR-SYSTEMS; SYNCHRONIZATION CONTROL; STABILITY ANALYSIS; ARRAY; STRATEGIES; TERMS;
D O I：
10.1016/j.neucom.2015.06.021
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we respectively investigate the input strict passivity and output strict passivity of impulsive coupled reaction-diffusion neural networks with and without time-varying delay. By constructing suitable Lyapunov functionals and utilizing some inequality techniques, several input strict passivity and output strict passivity conditions are derived for the impulsive coupled reaction-diffusion neural networks with and without time-varying delay. Finally, two numerical examples are given to illustrate the correctness and effectiveness of the proposed results. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：13 / 22
页数：10
相关论文
共 50 条
  • [41] Pinning Synchronization of Coupled Neural Networks With Multiple Time-Varying Delays and Reaction-Diffusion Terms
    Xu Meng
    Wang Jin-Liang
    Huang Yan-Li
    Wang Shu-Xue
    Ren Shun-Yan
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 7267 - 7272
  • [42] Synchronization of Reaction-Diffusion Neural Networks with Mixed Time-Varying Delays
    Wu H.
    Zhang X.
    Li R.
    Yao R.
    Journal of Control, Automation and Electrical Systems, 2014, 26 (01) : 16 - 27
  • [43] Switching synchronization of reaction-diffusion neural networks with time-varying delays
    Hu, Dandan
    Tan, Jieqing
    Shi, Kaibo
    Ding, Kui
    CHAOS SOLITONS & FRACTALS, 2022, 155
  • [44] Delay-dependent exponential stability for impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms
    Zhang, Xinhua
    Wu, Shulin
    Li, Kelin
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2011, 16 (03) : 1524 - 1532
  • [45] Passivity analysis of coupled neural networks with reaction-diffusion terms and mixed delays
    Cao, Yanyi
    Cao, Yuting
    Wen, Shiping
    Huang, Tingwen
    Zeng, Zhigang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (17): : 8915 - 8933
  • [46] Passivity Analysis of Coupled Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions
    Wang, Jin-Liang
    Wu, Huai-Ning
    Huang, Tingwen
    Ren, Shun-Yan
    Wu, Jigang
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (08): : 2148 - 2159
  • [47] New passivity criteria for neural networks with time-varying delay
    Zhang, Zexu
    Mou, Shaoshuai
    Lam, James
    Gao, Huijun
    NEURAL NETWORKS, 2009, 22 (07) : 864 - 868
  • [48] Improved Conditions for Passivity of Neural Networks With a Time-Varying Delay
    Zeng, Hong-Bing
    He, Yong
    Wu, Min
    Xiao, Hui-Qin
    IEEE TRANSACTIONS ON CYBERNETICS, 2014, 44 (06) : 785 - 792
  • [49] Exponential passivity of neural networks with time-varying delay and uncertainty
    Zhu, Song
    Shen, Yi
    Chen, Guici
    PHYSICS LETTERS A, 2010, 375 (02) : 136 - 142
  • [50] Criteria for Passivity of Uncertain Neural Networks with Time-Varying Delay
    Lou, Xuyang
    Zhu, Huibin
    Cui, Baotong
    INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2012), 2013, 8768
12345