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Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization

This paper investigates a method to identify uncertain system parameters and unknown topological structure in general complex networks with or without time delay. A complex network, which has uncertain topology and unknown parameters, is designed as a drive network, and a known response complex netw...

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Detalles Bibliográficos
Autores principales: Heng, Liu, Xingyuan, Wang, Guozhen, Tan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596856/
https://www.ncbi.nlm.nih.gov/pubmed/26444690
http://dx.doi.org/10.1371/journal.pone.0139804
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author Heng, Liu
Xingyuan, Wang
Guozhen, Tan
author_facet Heng, Liu
Xingyuan, Wang
Guozhen, Tan
author_sort Heng, Liu
collection PubMed
description This paper investigates a method to identify uncertain system parameters and unknown topological structure in general complex networks with or without time delay. A complex network, which has uncertain topology and unknown parameters, is designed as a drive network, and a known response complex network with an input controller is designed to identify the drive network. Under the proposed input controller, the drive network and the response network can achieve anticipatory projective synchronization when the system is steady. Lyapunov theorem and Barbǎlat’s lemma guarantee the stability of synchronization manifold between two networks. When the synchronization is achieved, the system parameters and topology in response network can be changed to equal with the parameters and topology in drive network. A numerical example is given to show the effectiveness of the proposed method.
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spelling pubmed-45968562015-10-20 Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization Heng, Liu Xingyuan, Wang Guozhen, Tan PLoS One Research Article This paper investigates a method to identify uncertain system parameters and unknown topological structure in general complex networks with or without time delay. A complex network, which has uncertain topology and unknown parameters, is designed as a drive network, and a known response complex network with an input controller is designed to identify the drive network. Under the proposed input controller, the drive network and the response network can achieve anticipatory projective synchronization when the system is steady. Lyapunov theorem and Barbǎlat’s lemma guarantee the stability of synchronization manifold between two networks. When the synchronization is achieved, the system parameters and topology in response network can be changed to equal with the parameters and topology in drive network. A numerical example is given to show the effectiveness of the proposed method. Public Library of Science 2015-10-07 /pmc/articles/PMC4596856/ /pubmed/26444690 http://dx.doi.org/10.1371/journal.pone.0139804 Text en © 2015 Heng et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Heng, Liu
Xingyuan, Wang
Guozhen, Tan
Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization
title Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization
title_full Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization
title_fullStr Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization
title_full_unstemmed Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization
title_short Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization
title_sort structure identification of uncertain complex networks based on anticipatory projective synchronization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596856/
https://www.ncbi.nlm.nih.gov/pubmed/26444690
http://dx.doi.org/10.1371/journal.pone.0139804
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