Robust stability of bidirectional associative memory neural networks with time delays

被引：104

作者：

Park, JH ^{[1
]}

机构：

[1] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea

来源：

PHYSICS LETTERS A | 2006年 / 349卷 / 06期

关键词：

global robust stability; linear matrix inequality; Lyapunov-Krasovskii functionals;

D O I：

10.1016/j.physleta.2005.09.067

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Based on the Lyapunov-Krasovskii functionals combined with linear matrix inequality approach, a novel stability criterion is proposed for asymptotic stability of bidirectional associative memory neural networks with time delays. A novel delay-dependent stability criterion is given in terms of linear matrix inequalities, which can be solved easily by various optimization algorithms. (c) 2005 Published by Elsevier B.V.

引用

页码：494 / 499

页数：6

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