Exponential passivity of BAM neural networks with time-varying delays

被引：15
|
作者：
Du, Yuanhua [1 ]
Zhong, Shouming [1 ]
Zhou, Nan [2 ]
Nie, Lei [1 ]
Wang, Wenqin [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2013年 / 221卷
基金：
中国国家自然科学基金;
关键词：
Exponential passivity; BAM neural networks; Linear matrix inequality; Lyapunov-Krasovskii; Time-varying delays; STABILITY; CRITERION; DISCRETE;
D O I：
10.1016/j.amc.2013.06.069
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The problem of delay-dependent exponential passivity analysis is investigated for BAM neural networks with time-varying delays. By establishing a suitable augmented Lyapunov-Krasovskii function and a novel sufficient condition is obtained to guarantee the exponential stability of the considered system. The several exponential stability criterion proposed in this paper is simpler and effective. A numerical example is provided to demonstrate the feasibility and effectiveness of our results. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码：727 / 740
页数：14
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