Global stability for neural networks of neutral-type with interval time-varying delays

被引：54
|
作者：
Park, Ju H. [1 ]
Kwon, O. M. [2 ]
机构：
[1] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea
[2] Chungbuk Natl Univ, Sch Elect & Comp Engn, Cheongju, South Korea
来源：
CHAOS SOLITONS & FRACTALS | 2009年 / 41卷 / 03期
关键词：
ASYMPTOTIC STABILITY; EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; ROBUST STABILITY; VARIABLE DELAYS; SYSTEMS; CRITERIA; DISCRETE; INPUT;
D O I：
10.1016/j.chaos.2008.04.049
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, the global asymptotic stability of delayed cellular neural networks of neutral-type is investigated. The delay is assumed to be time-varying and belongs to a given interval. A novel delay-dependent criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. Two numerical examples are given to show the effectiveness of proposed method. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1174 / 1181
页数：8
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