EXPONENTIAL STABILITY OF DELAYED NEURAL NETWORKS WITH IMPULSES

被引：0
|
作者：
Yang, Jin-Xiang [1 ]
Zhong, Shou-Ming [2 ]
Song, Jian-Cheng [1 ]
机构：
[1] Southwest Univ Nationalities, Coll Comp Sci & Technol, Chengdu 610041, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Appl Math, Chengdu 610054, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008) | 2008年
关键词：
Exponential stability; impulsive; neural networks;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper investigates the stability of a class of delayed neural networks with impulses. By means of Liapunov direct method, the new sufficient conditions for exponential stability of the systems are derived.
引用
收藏
页码：244 / +
页数：2
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