Delay-dependent exponential stability of cellular neural networks with time-varying delays

被引：158
|
作者：
Zhang, Q [1 ]
Wei, XP
Xu, J
机构：
[1] Dalian Univ, Ctr Adv Design Technol, Dalian 116622, Peoples R China
[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2005年 / 23卷 / 04期
关键词：
D O I：
10.1016/j.chaos.2004.06.036
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The global exponential stability of cellular neural networks (CNNs) with time-varying delays is analyzed. Two new sufficient conditions ensuring global exponential stability for delayed CNNs are obtained. The conditions presented here are related to the size of delay. The stability results improve the earlier publications. Two examples are given to demonstrate the effectiveness of the obtained results. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1363 / 1369
页数：7
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