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机构地区:[1]College of Communication and Control Engineering,Jiangnan University
出 处:《Chinese Physics B》2009年第1期76-83,共8页中国物理B(英文版)
基 金:Project supported by National Natural Science Foundation of China (Grant No 60674026);the Jiangsu Provincial Natural Science Foundation of China (Grant No BK2007016);Program for Innovative Research Team of Jiangnan University,China
摘 要: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.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.
关 键 词:coupled neural networks adaptive synchronization Lyapunov functional delayed coupling
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