Impulsive delay differential inequality and stability of neural networks

被引:227
|
作者
Xu, DY [1 ]
Yang, ZC [1 ]
机构
[1] Sichuan Univ, Math Coll, Chengdu 610064, Peoples R China
基金
中国国家自然科学基金;
关键词
impulse; delay; differential inequality; neural networks; stability;
D O I
10.1016/j.jmaa.2004.10.040
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, a generalized model of neural networks involving time-varying delays and impulses is considered. By establishing the delay differential inequality with impulsive initial conditions and using the properties of M-cone and eigenspace of the spectral radius of nonnegative matrices, some new sufficient conditions for global exponential stability of impulsive delay model are obtained. The results extend and improve the earlier publications. An example is given to illustrate the theory. (c) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:107 / 120
页数:14
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