Delay-dependent stability criterion for delayed Hopfield neural networks

被引：11

作者：

Jiang, Yanhong ^{[1
]}

Yang, Bin ^{[1
]}

Wang, Jincheng ^{[1
]}

Shao, Cheng ^{[1
]}

机构：

[1] Dalian Univ Technol, Dept Automat, Dalian 116023, Peoples R China

来源：

CHAOS SOLITONS & FRACTALS | 2009年 / 39卷 / 05期

关键词：

GLOBAL ASYMPTOTIC STABILITY; TIME-VARYING DELAYS; EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; LMI CONDITION;

D O I：

10.1016/j.chaos.2007.06.039

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, a new Lyapunov-Krasovskii functional is constructed for delayed Hopfield neural networks, and several free-weighting matrices and S-procedure are employed to derive the delay-dependent stability criterion. The derived criterion is formulated in terms of linear matrix inequality (LMI). A numerical example is given to demonstrate the effectiveness and less conservativeness of the presented criterion. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：2133 / 2137

页数：5

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