TY - JOUR
T1 - Decentralized control for synchronization of delayed neural networks subject to dead-zone nonlinearity
AU - Lin, Jui Sheng
AU - Hung, Meei Ling
AU - Yan, Jun Juh
AU - Liao, Teh Lu
PY - 2007/9/15
Y1 - 2007/9/15
N2 - This article aims to present a decentralized synchronization scheme for a class of delayed neural networks subject to dead-zone nonlinearity in control input. On the basis of the drive-response concept and the Lyapunov stability theory, a decentralized control law is proposed for guaranteeing global synchronization even when input nonlinearity is present. The proposed controller is suitable for application in delayed cellular neural networks (DCNNs) and delayed Hopfield neural networks (DHNNs) with no restriction on the derivative of the time-varying delays. Finally, computer simulations are provided to demonstrate the effectiveness of the proposed synchronization scheme.
AB - This article aims to present a decentralized synchronization scheme for a class of delayed neural networks subject to dead-zone nonlinearity in control input. On the basis of the drive-response concept and the Lyapunov stability theory, a decentralized control law is proposed for guaranteeing global synchronization even when input nonlinearity is present. The proposed controller is suitable for application in delayed cellular neural networks (DCNNs) and delayed Hopfield neural networks (DHNNs) with no restriction on the derivative of the time-varying delays. Finally, computer simulations are provided to demonstrate the effectiveness of the proposed synchronization scheme.
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U2 - 10.1016/j.na.2006.07.048
DO - 10.1016/j.na.2006.07.048
M3 - Article
AN - SCOPUS:34247343755
SN - 0362-546X
VL - 67
SP - 1980
EP - 1987
JO - Nonlinear Analysis, Theory, Methods and Applications
JF - Nonlinear Analysis, Theory, Methods and Applications
IS - 6
ER -