DocumentCode
3345231
Title
Exponential Stability of Impulsive Neural Networks with Distributed Delays
Author
Yang, Jianfu ; Yang, Fengjian ; Liu, Ren ; Li, Wei ; Wu, Dongqing
Author_Institution
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
480
Lastpage
483
Abstract
In this paper, with assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, Young inequality and Halanay differential inequality with delay, the global exponential stability of the equilibrium point for a class of cellular neural networks with distributed delays and large impulses is investigated, the sufficient conditions for globally exponential stability of neural networks are obtained.
Keywords
Lyapunov methods; asymptotic stability; cellular neural nets; delays; transfer functions; Halanay differential inequality; Young inequality; activation function; cellular neural networks; distributed delay; exponential stability; global Lipschitz conditions; impulsive neural network; vector Lyapunov function; Agricultural engineering; Agriculture; Cellular neural networks; Computer networks; Distributed computing; Genetics; Kernel; Lyapunov method; Neural networks; Stability; global Lipschitz conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.34
Filename
5402790
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