Novel stability conditions for cellular neural networks with time delay

被引：67
作者：
Liao, XF [1 ]
Wong, KW
Yu, JB
机构：
[1] Chongqing Univ, Fac Comp Sci & Engn, Chongqing 400044, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[3] Univ Elect Sci & Technol China, Dept Optoelect Technol, Chengdu 610054, Sichuan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2001年 / 11卷 / 07期
关键词：
D O I：
10.1142/S0218127401003103
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 cellular neural networks with time delay is discussed using some novel Lyapunov functionals. Novel sufficient conditions for this type of stability are derived. They are less restrictive and more practical than those currently used. As a result, the design of cellular neural networks with time delay is refined. Our work can also be generalized to cellular neural networks with time-varying delay, a topic on which little research work has been done. By means of several different Lyapunov functionals, some sufficient conditions related to the global asymptotic stability for cellular neural networks with perturbations of time-varying delays are derived.
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收藏
页码：1853 / 1864
页数：12
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