Existence and global exponential stability of periodic solution of a class of neural networks with impulses

被引：67

作者：

Li, YK ^{[1
]}

Xing, WY ^{[1
]}

Lu, LH ^{[1
]}

机构：

[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China

来源：

CHAOS SOLITONS & FRACTALS | 2006年 / 27卷 / 02期

关键词：

D O I：

10.1016/j.chaos.2005.04.021

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Sufficient conditions are obtained for the existence and global exponential stability of a unique periodic solution of a class of neural networks with variable and unbounded delays and impulses by using Mawhin's continuation theorem of coincidence degree theory and by constructing Lyapunov functions. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：437 / 445

页数：9

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