Zobrazit minimální záznam

dc.contributor.authorŠenkeřík, Roman
dc.contributor.authorOplatková, Zuzana
dc.contributor.authorZelinka, Ivan
dc.contributor.authorDavendra, Donald David
dc.date.accessioned2012-11-02T13:04:59Z
dc.date.available2012-11-02T13:04:59Z
dc.date.issued2013
dc.identifier.citationMathematical and computer modelling. 2013, vol. 57, issues 1-2, p. 57-67.cs
dc.identifier.issn0895-7177
dc.identifier.urihttp://hdl.handle.net/10084/95669
dc.description.abstractThis research deals with the utilization of analytic programming for a synthesis of control law for three selected discrete chaotic systems. The novelty of the approach is that a tool for symbolic regression–analytic programming–is used for such kinds of difficult problems. The paper consists of the descriptions of analytic programming as well as chaotic systems and used cost functions. For simulations, evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) and analytic programming were used. For each case study, repeated simulations were conducted to outline the effectiveness and robustness of used methods. All repeated simulations have given satisfactory results.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesMathematical and computer modellingcs
dc.relation.urihttp://dx.doi.org/10.1016/j.mcm.2011.05.030cs
dc.subjectchaos controlcs
dc.subjectanalytic programmingcs
dc.subjectoptimizationcs
dc.subjectevolutionary algorithmscs
dc.subjectSOMAcs
dc.titleSynthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programmingcs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.identifier.doi10.1016/j.mcm.2011.05.030
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume57cs
dc.description.issue1-2cs
dc.description.lastpage67cs
dc.description.firstpage57cs
dc.identifier.wos000308805600007


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