Global exponential stability of fuzzy BAM neural networks with time-varying delays

被引：8
作者：
Zhang, Qianhong [1 ,2 ]
Luo, Wei [2 ]
机构：
[1] Cent S Univ, Sch Math Sci & Comp Technol, Changsha 410083, Hunan, Peoples R China
[2] Hunan Inst Technol, Dept Basic Sci, Hengyang 421002, Hunan, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2009年 / 42卷 / 04期
关键词：
BIDIRECTIONAL ASSOCIATIVE MEMORY; ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; EXISTENCE;
D O I：
10.1016/j.chaos.2009.03.116
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, a class of fuzzy bidirectional associated memory (BAM) neural networks with time-varying delays are studied. Employing fixed point theorem, matrix theory and inequality analysis, some sufficient conditions are established for the existence, uniqueness and global exponential stability of equilibrium point. The sufficient conditions are easy to verify at pattern recognition and automatic control. Finally, an example is given to show feasibility and effectiveness of our results. (C) 2009 Published by Elsevier Ltd.
引用
收藏
页码：2239 / 2245
页数：7
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