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Neural Computing and Applications

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29-12-2016 | Original Article

Parameters estimation and synchronization of uncertain coupling recurrent dynamical neural networks with time-varying delays based on adaptive control

Authors: Mingwen Zheng, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang, Hui Zhao

Published in: Neural Computing and Applications | Issue 7/2018

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Abstract

This paper mainly studies the parameters estimation and synchronization of coupling recurrent dynamical neural networks (CRDNNs). Here, the weights and coupling parameters of CRDNNs are unknown. By designing a new adaptive controller and parameters update rules, a simple linear matrix inequality criterion is established for the parameters estimation and synchronization problem of CRDNNs. We prove the conclusion by constructing a suitable Lyapunov function. A numerical simulation is given to show the effectiveness of the conclusion.

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Title: Parameters estimation and synchronization of uncertain coupling recurrent dynamical neural networks with time-varying delays based on adaptive control
Authors: Mingwen Zheng
Lixiang Li
Haipeng Peng
Jinghua Xiao
Yixian Yang
Hui Zhao
Publication date: 29-12-2016
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 7/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2822-6

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