DocumentCode :
2847543
Title :
Exponential stability of BAM type Cohen-Grossberg neural networks with delays on time scales
Author :
Zhang, Chaolong ; Wang, Qiru ; Yang, Fengjian ; Yang, Jianfu
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
2406
Lastpage :
2410
Abstract :
In this paper, a class of BAMtype Cohen-Grossberg neural networks with delays are studied. Some sufficient conditions ensuring global exponential stability of the system are obtained on time scales. The results extend and improve some recent works for neural networks.
Keywords :
asymptotic stability; delays; neurocontrollers; BAM type Cohen-Grossberg neural networks; delays; global exponential stability; time scales; Agricultural engineering; Agriculture; Chaos; Computer networks; Delay effects; Magnesium compounds; Mathematics; Neural networks; Stability; Sun; BAM type Cohen-Grossberg Neural networks; exponential stability; on time scales; periodic solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498803
Filename :
5498803
Link To Document :
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