Global Exponential Stability of BAM Type Cohen-Grossberg Neural Network with Delays on Time Scales

被引：0

作者：

Zhang, Chaolong ^{[1
]}

Ding, Wensi ^{[2
]}

Yang, Fengjian ^{[1
]}

Li, Wei ^{[1
]}

机构：

[1] Zhongkai Univ Agr & Engn, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China

[2] South China Univ Technol, Sch Machan & Automat Engn, Guangzhou 510640, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2010, PT 1, PROCEEDINGS | 2010年 / 6063卷

关键词：

Cohen-Grossberg BAM neural network; Lyapunov function; time scales; VARYING DELAYS; DYNAMICS;

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：

In this paper,a class of the BAM type Cohen-Grossbcrg neural network with delays is considered on time scales. Some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability are obtained.At last,an example can be demonstrate the results.

引用

页码：595 / +

页数：3

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