On robust stability for uncertain neural networks with interval time-varying delays

被引:60
|
作者
Kwon, O. M. [1 ]
Park, J. H. [2 ]
Lee, S. M. [3 ]
机构
[1] Chungbuk Natl Univ, Sch Elect & Comp Engn, Cheongju 361763, South Korea
[2] Yeungnam Univ, Dept Elect Engn, Kyongsan 712749, South Korea
[3] KT CO Ltd, BcN Business Unit, Platform Verificat Div, Taejon 305811, South Korea
来源
IET CONTROL THEORY AND APPLICATIONS | 2008年 / 2卷 / 07期
关键词
D O I
10.1049/iet-cta:20070325
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of robust stability of uncertain cellular neural networks with interval time-varying delays is considered. On the basis of the Lyapunov function method and convex optimisation approach, a new delay-dependent stability criterion for the system is derived in terms of linear matrix inequality using a novel mathematical inequality and stability analysis method. Four numerical examples are included to show the effectiveness of the results.
引用
收藏
页码:625 / 634
页数:10
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