Variable-time impulses in BAM neural networks with delays

被引：37

作者：

Liu, Chao ^{[1
]}

Li, Chuandong ^{[1
]}

Liao, Xiaofeng ^{[1
]}

机构：

[1] Chongqing Univ, Coll Comp, Chongqing 400044, Peoples R China

来源：

NEUROCOMPUTING | 2011年 / 74卷 / 17期

基金：

中国国家自然科学基金;

关键词：

BAM neural networks; Time delays; Variable-time impulse; Exponential stability; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; DIFFERENTIAL-EQUATIONS; COMPARISON PRINCIPLE; CRITERIA; EXISTENCE;

D O I：

10.1016/j.neucom.2011.05.005

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, the globally exponential stability of BAM neural networks with time delays and impulses has been studied. Different from most existing publications, the case of variable time impulses is dealt with in the present paper, i.e., impulse occurring is not at fixed instants but depends on the states of systems. By using Lyapunov function and inequality technique, some globally exponential stability criteria of BAM neural networks with time delays and variable-time impulses have been established. When the proposed results can also be applied to the case of fixed-time impulses, it provides new stability conditions for the case of fixed-time impulses. Numerical examples are also given to illustrate the effectiveness of our theoretical results. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：3286 / 3295

页数：10

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