Abstract This paper investigates the global synchronization in an array of linearly coupled neural networks with constant and delayed coupling. By a simple combination of adaptive control and linear feedback with the updated laws, some sufficient conditions are derived for global synchronization of the coupled neural networks. The coupling configuration matrix is assumed to be asymmetric, which is more coincident with the realistic network. It is shown that the approaches developed here extend and improve the earlier works. Finally, numerical simulations are presented to demonstrate the effectiveness of the theoretical results.
Received: 23 March 2008
Revised: 26 April 2008
Accepted manuscript online:
Fund: Project supported by National
Natural Science Foundation of China (Grant No 60674026), the Jiangsu
Provincial Natural Science Foundation of China (Grant No BK2007016)
and Program for Innovative Research Team of Jiangnan University,
China.
Cite this article:
Gao Ming(高明) and Cui Bao-Tong (崔宝同) Adaptive synchronization in an array of asymmetric coupled neural networks 2009 Chin. Phys. B 18 76
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