Existence and stability of periodic solutions of delayed cellular neural networks

被引：19

作者：

Li, YK ^{[1
]}

Zhu, LF ^{[1
]}

Liu, P ^{[1
]}

机构：

[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China

来源：

NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS | 2006年 / 7卷 / 02期

关键词：

cellular neural networks (CNNs); state-dependent delay; periodic solution; stability; coincidence degree;

D O I：

10.1016/j.nonrwa.2005.02.004

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We use the continuation theorem of coincidence degree theory and Liapunov function to study the existence and stability of positive periodic solutions for cellular neural networks (CNNs) with distributed delays [GRAPHICS] and cellular neural networks (CNNs) with state-dependent delays [GRAPHICS] (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：225 / 234

页数：10

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