Global exponential stability analysis of cellular neural networks

被引：0

作者：

Zhou, DM ^{[1
]}

Zhang, LM ^{[1
]}

机构：

[1] Yunnan Univ, Informat Coll, Kunming 650091, Peoples R China

来源：

8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING | 2001年

关键词：

cellular neural networks; Lyapunov function; global exponential stability;

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：

This paper studies the problem of global exponential stability for the cellular neural networks (CNN). Some sufficient conditions are obtained for the global exponential stability of the equilibrium of CNN by means of Lyapunov function approach and the method of inequality analysis.

引用

页码：1445 / 1448

页数：4

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