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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4596856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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