Global exponential stability of BAM neural networks with delays and impulses

被引：196
|
作者：
Li, YK [1 ]
机构：
[1] Yunnan Univ, Dept Math, Kunming 650091, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2005年 / 24卷 / 01期
关键词：
D O I：
10.1016/j.chaos.2004.09.027
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 equilibrium of a class of two-layer heteroassociative networks called bidirectional associative memory (BAM) networks with Lipschitzian activation functions without assuming their boundedness. monotonicity or differentiability and subjected to impulsive state displacements at fixed instants of time. An illustrative example is given to demonstrate the effectiveness of the obtained results. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：279 / 285
页数：7
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