Existence and global exponential stability of periodic solution of a class of impulsive networks with infinite delays

被引：4

作者：

Xia, Yonghui ^{[1
]}

Cao, Jinde

Lin, Muren

机构：

[1] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China

[2] SE Univ, Dept Math, Nanjing 210096, Peoples R China

来源：

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 2007年 / 17卷 / 01期

基金：

中国国家自然科学基金;

关键词：

impulsive; neural network; periodic solutions; exponential stability;

D O I：

10.1142/S0129065707000506

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sufficient conditions are obtained for the existence and global exponential stability of a unique periodic solution of a class of impulsive tow-neuron networks with variable and unbounded delays. The approaches are based on Mawhin's continuation theorem of coincidence degree theory and Lyapunov functions.

引用

页码：35 / 42

页数：8

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