A new criterion on exponential stability of a class of discrete cellular neural networks with time delay

被引：0
|
作者：
Hao, F [1 ]
Wang, L
Chu, TG
机构：
[1] Beijing Univ Aeronaut & Astronaut, Res Div 7, Beijing 100083, Peoples R China
[2] Peking Univ, Ctr Syst & Control, Dept Engn Sci & Mech, Beijing 100871, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS | 2005年 / 3610卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular neural networks (CNNs) with delay is established by Lyapunov-Krasovskii function methods. The obtained result shows a relation between the delayed time and the corresponding parameters of the network, A numerical example is given to illustrate the efficiency of the proposed approach.
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页码：769 / 772
页数：4
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