Adaptive synchronization of nonlinearly parameterized complex dynamical networks with unknown time-varying parameters
type: Item
instance of: scholarly article
title: Adaptive synchronization of nonlinearly parameterized complex dynamical networks with unknown time-varying parameters
zbMATH Open document ID: 1264.93111
DOI: 10.1155/2012/592539
author: Junmin Li
author: Shu Tang
author: Teng-fei Wang
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: A new adaptive learning control approach is proposed for a class of nonlinearly parameterized complex dynamical networks with unknown time-varying parameters. By using the parameter separation and reparameterization technique, the adaptive learning laws of periodically time-varying and constant parameters and an adaptive control strategy are designed to ensure the asymptotic convergence of the synchronization error in the sense of square error norm. Then, a sufficient condition of the synchronization is given by constructing a composite energy function. Finally, an example of the complex network is used to verify the effectiveness of proposed approach.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 34D06
zbMATH DE Number: 6173407
Wikidata QID: Q58912220
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/592539
OpenAlex ID: W1981394449
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description: scientific article; zbMATH DE number 6173407