Stability and Periodicity of Neural Networks with Delays and Impulses

被引：0
|
作者：
Yang, Fengjian [1 ]
Zhang, Chaolong [1 ]
Wu, Dongqing [1 ]
Yang, Jianfu [1 ]
Gao, Chuanxiang [1 ]
Liang, Lishi [2 ]
Hong, Qun [3 ]
机构：
[1] Zhongkai Univ Agr & Engn, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
[2] 5th Middle Sch Guangzhou City, Guangzhou 510220, Guangdong, Peoples R China
[3] Haizhu Dist Chigang Primary Sch Guangzhou City, Guangzhou 510310, Guangdong, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
impulse; neural networks; time delays; Fixed point;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with the stability and periodicity for a class of impulsive neural networks with delays. By means of the Fixed point theory, Lyapunov functional and analysis technique, some sufficient conditions of exponential stability and periodicity are obtained. We can see that impulses do contribution to the stability and periodicity. An example is given to demonstrate the effectiveness of the obtained results.
引用
收藏
页码：3171 / +
页数：2
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