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
收藏
页码：35 / 42
页数：8
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