DocumentCode :
2317023
Title :
Exponential stability of BAM type Cohen-Grossberg neural networks with variable delays and impulsive on time scales
Author :
Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Yang, Jianfu
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
fYear :
2010
fDate :
25-27 Aug. 2010
Firstpage :
6
Lastpage :
10
Abstract :
In this paper, we investigate impulsive effects on the stability of BAM type Cohen-Grossberg neural networks with variable delays and obtain some sufficient conditions ensuring exponential stability of the impulsive variable delays system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks(or on time scales).
Keywords :
asymptotic stability; content-addressable storage; delays; neural nets; BAM type Cohen-Grossberg neural networks; bidirectional associative memory; exponential stability; impulsive variable delay; time scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
Conference_Location :
Suzhou, Jiangsu
Print_ISBN :
978-1-4244-6334-3
Type :
conf
DOI :
10.1109/IWACI.2010.5585130
Filename :
5585130
Link To Document :
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