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Parameter estimation in five-dimensional chaotic synchronization systems by differential evolution algorithm

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dc.title Parameter estimation in five-dimensional chaotic synchronization systems by differential evolution algorithm en
dc.contributor.author Nguyen, Thanh Dung
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof MENDEL 2012
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788021445406
dc.date.issued 2012
dc.citation.spage 52
dc.citation.epage 57
dc.event.title 18th International Conference on Soft Computing, MENDEL 2012
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-06-27
dc.event.edate 2012-06-29
dc.type conferenceObject
dc.language.iso en
dc.publisher Brno University of Technology
dc.subject 5D chaotic system en
dc.subject Active-passive decomposition method en
dc.subject Differential evolution algorithm en
dc.subject Identical synchronization en
dc.subject Parameter estimation en
dc.subject Secure communication en
dc.description.abstract This paper presents the combination of chaotic signal and evolutionary algorithm, which is used to estimate the unknown parameters in five-dimensional chaos synchronization system via the active-passive decomposition method. The differential evolution algorithm is used to estimate the unknown parameters of chaotic system. Based on the results from evolutionary algorithm, two identical systems are synchronized. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004706
utb.identifier.scopus 2-s2.0-84882953817
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:55:02Z
dc.date.available 2015-06-04T12:55:02Z
utb.contributor.internalauthor Nguyen, Thanh Dung
utb.contributor.internalauthor Zelinka, Ivan
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