New results on stability analysis of neural networks with time-varying delays

被引：162

作者：

Hua, CC ^{[1
]}

Long, CN ^{[1
]}

Guan, XP ^{[1
]}

机构：

[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China

来源：

PHYSICS LETTERS A | 2006年 / 352卷 / 4-5期

基金：

中国国家自然科学基金;

关键词：

time delay neural networks; stability analysis; Lyapunov Krasovskii functional;

D O I：

10.1016/j.physleta.2005.12.005

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this Letter the time delay dependent stability problem is investigated for a class of time delay neural networks. By constructing novel Lyapunov Krasovskii functional, we propose the new stability results for time delay neural network. The sufficient conditions obtained in this Letter are looser than those in the former literature. Specially, our results include the time delay independent results obtained in some existing literature. The stability conditions are all in the form of linear matrix inequalities (LMIs), which can be computed and optimized easily. Finally, numerical examples are given to show the superiority of the main results. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：335 / 340

页数：6

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