Global asymptotic stability analysis for neural networks with time-varying delays

被引：0
|
作者：
Zuo, Zhiqiang [1 ]
Wang, Yijing [1 ]
机构：
[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
来源：
PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | 2006年
关键词：
D O I：
10.1109/CDC.2006.377396
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 global asymptotic stability for a class of neural networks with variable delays is considered in this paper. Based on a more general Lyapunov-Krasovskii functional, a less conservative condition for global asymptotic stability is derived by using some slack matrix variables to express the relationship between the system matrices. The restriction on the derivative of the delay function to be less than unit is removed. A numerical example is given to illustrate the effectiveness of the proposed method.
引用
收藏
页码：6343 / 6347
页数：5
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