DocumentCode
1945058
Title
Exponential stability of BAM type Cohen-Grossberg neural networks with delays and impulsive on time scales
Author
Zhang, Chaolong ; Ding, Wensi ; Yang, Fengjian ; Wang, Qian
Author_Institution
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
fYear
2010
fDate
13-15 Aug. 2010
Firstpage
512
Lastpage
516
Abstract
In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive 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; exponential stability; impulsive neural networks; impulsive system; nonimpulsive neural networks; time scales;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7047-1
Type
conf
DOI
10.1109/ICICIP.2010.5564311
Filename
5564311
Link To Document