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