Title :
Asymptotically synchronization of a class of delayed neural networks with impulsive effects
Author :
Han Dun ; Sun Mei ; Li Dan-Dan ; Wang Peng-Gang
Author_Institution :
Nonlinear Sci. Res. Center, Jiangsu Univ., Zhenjiang, China
Abstract :
In this paper, the problem of asymptotically synchronization for cellular neural networks with time-varying delays and impulsive effect is studied. Many of those studied have some limited about the impulsive gain. Based on the existing neural network of the research, we make two of the neural networks achieve synchronization with arbitrary pulse gain under a new sufficient condition. Moreover, numerical simulation is used to verify the effectiveness of the scheme.
Keywords :
cellular neural nets; delays; synchronisation; time-varying networks; arbitrary pulse gain; asymptotic synchronization; cellular neural network; delayed neural network; impulsive effect; impulsive gain; numerical simulation; sufficient condition; time varying delay; Artificial neural networks; Biological neural networks; Control theory; Delays; Stability; Synchronization; Impulsive Effect; Neural Networks; Time-Varying Delays;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561302
