Discrete-time bidirectional associative memory neural networks with variable delays

被引：99

作者：

Liang, JL

Cao, JD ^{[1
]}

Ho, DWC

机构：

[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China

[2] City Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China

来源：

PHYSICS LETTERS A | 2005年 / 335卷 / 2-3期

基金：

中国国家自然科学基金;

关键词：

bidirectional associative memory (BAM); neural networks; discrete-time; Lyapunov functionals; global exponential stability; linear matrix inequality (LMI);

D O I：

10.1016/j.physleta.2004.12.026

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Based on the linear matrix inequality (LMI), some sufficient conditions are presented in this Letter for the existence, uniqueness and global exponential stability of the equilibrium point of discrete-time bidirectional associative memory (BAM) neural networks with variable delays. Some of the stability criteria obtained in this Letter are delay-dependent, and some of them are delay-independent, they are less conservative than the ones reported so far in the literature. Furthermore, the results provide one more set of easily verified criteria for determining the exponential stability of discrete-time BAM neural networks. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：226 / 234

页数：9

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