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

页码：13 / 22

页数：10

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