Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems

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dc.contributor.authorŠenkeřík, Roman
dc.contributor.authorKomínková Oplatková, Zuzana
dc.contributor.authorZelinka, Ivan
dc.contributor.authorChramcov, Bronislav
dc.contributor.authorDavendra, Donald David
dc.contributor.authorPluháček, Michal
dc.date.accessioned2014-05-14T14:00:30Z
dc.date.available2014-05-14T14:00:30Z
dc.date.issued2014
dc.description.abstractA novel tool for symbolic regression, analytical programming and its application for the synthesis of a new robust feedback control law are presented in this paper. This synthesized robust chaotic controller secures the fully stabilization of several selected sets containing one-dimensional, two-dimensional and evolutionary synthesized discrete chaotic systems. The paper consists of the descriptions of analytic programming as well as selected chaotic systems, used heuristic and cost function design. For experimentation, self-organizing migrating algorithm and differential evolution were used.cs
dc.description.firstpage651cs
dc.description.issue4cs
dc.description.lastpage668cs
dc.description.sourceWeb of Sciencecs
dc.description.volume18cs
dc.identifier.citationSoft Computing. 2014, vol. 18, no. 4, p. 651-668.cs
dc.identifier.doi10.1007/s00500-014-1220-1
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.urihttp://hdl.handle.net/10084/101796
dc.identifier.wos000333030800005
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesSoft Computingcs
dc.relation.urihttp://dx.doi.org/10.1007/s00500-014-1220-1cs
dc.rights© Springer-Verlag Berlin Heidelberg 2014cs
dc.subjectchaos controlcs
dc.subjectsymbolic regressioncs
dc.subjectanalytic programmingcs
dc.subjectdifferential evolutioncs
dc.subjectSOMAcs
dc.titleUtilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systemscs
dc.typearticlecs
dc.type.statusPeer-reviewedcs

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