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