Global exponential periodicity and stability of a class of impulsive neural networks with finite distributed delays

被引：0
|
作者：
Liu, Lechun [1 ]
Sun, Jianzhi [1 ]
机构：
[1] Yanshan Univ, Coll Sci, Quinhuangdao 066004, Peoples R China
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICNC.2008.856
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
By constructing proper Lyapunov function and using some analysis techniques in the impulsive differential equation theory. A sufficient condition which ensures the global exponential periodicity and stability of neural networks with impulses and finite distributed delays is obtained. The obtained results in this Paper improve and extend those given in the earlier literature.
引用
收藏
页码：399 / 403
页数：5
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