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 :
بازگشت