On the almost periodic solution of cellular neural networks with distributed delays

被引:22
|
作者
Liu, Yiguang [1 ]
You, Zhisheng [1 ]
Cao, Liping [1 ]
机构
[1] Sichuan Univ, Sch Comp Sci & Engn, Chengdu 610064, Peoples R China
来源
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2007年 / 18卷 / 01期
关键词
almost periodic solution (APS); cellular neural networks (CNNs); distributed delays; fixed-point theorem;
D O I
10.1109/TNN.2006.885441
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
By exponential dichotomy about differential equations, a formal almost periodic solution (APS) of a class of cellular neural networks (CNNs) with distributed delays is obtained. Then, within different normed spaces, several sufficient conditions guaranteeing the existence and uniqueness of an APS are proposed using two fixed-point theorems. Based on the continuity property and some inequality techniques, two theorems insuring the global stability of the unique APS are given. Comparing with known literatures, all conclusions are drawn with slacker restrictions, e.g., do not require the integral of the kernel function determining the distributed delays from zero to positive infinity to be one, and the activation functions to be bounded, etc.; besides, all criteria are obtained by different ways. Finally, two illustrative examples show the validity and that all criteria are easy to check and apply.
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页码:295 / 300
页数:6
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