DocumentCode
3351987
Title
Exponential Stability of Cellular Neural Networks with Distributed Delays and Large Impulses
Author
Yang, Jianfu ; Gao, Chuanxiang ; Liu, Ren ; Yang, Fengjian ; Li, Wei ; Wu, Dongqing
Author_Institution
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Volume
2
fYear
2009
fDate
28-30 Oct. 2009
Firstpage
242
Lastpage
245
Abstract
In this paper , With assumption of global Lipschitz conditions on the activation functions, by Lyapunov function and Halanay differential inequality with delay, we study a class of cellular neural networks with distributed delays and large impulses. It obtained a sufficient condition for globally exponential stability of the equilibrium point.
Keywords
Lyapunov methods; asymptotic stability; cellular neural nets; delays; transfer functions; Halanay differential inequality; Lyapunov function; activation functions; cellular neural networks; distributed delays; equilibrium point; global Lipschitz conditions; globally exponential stability; large impulses; sufficient condition; Agricultural engineering; Agriculture; Asymptotic stability; Cellular neural networks; Computer science; Delay effects; Electronic mail; Kernel; Neural networks; Sufficient conditions; cellular neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3881-5
Type
conf
DOI
10.1109/WCSE.2009.804
Filename
5403280
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