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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Main Authors: Liu Heng, Wang Xingyuan, Tan Guozhen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4596856?pdf=render
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author Liu Heng
Wang Xingyuan
Tan Guozhen
author_facet Liu Heng
Wang Xingyuan
Tan Guozhen
author_sort Liu Heng
collection DOAJ
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 doaj.art-01989901a17e4968be68c6a7792256892022-12-22T03:39:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011010e013980410.1371/journal.pone.0139804Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.Liu HengWang XingyuanTan GuozhenThis 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.http://europepmc.org/articles/PMC4596856?pdf=render
spellingShingle Liu Heng
Wang Xingyuan
Tan Guozhen
Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.
PLoS ONE
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
url http://europepmc.org/articles/PMC4596856?pdf=render
work_keys_str_mv AT liuheng structureidentificationofuncertaincomplexnetworksbasedonanticipatoryprojectivesynchronization
AT wangxingyuan structureidentificationofuncertaincomplexnetworksbasedonanticipatoryprojectivesynchronization
AT tanguozhen structureidentificationofuncertaincomplexnetworksbasedonanticipatoryprojectivesynchronization