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
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