Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming

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dc.contributor.author Šenkeřík, Roman
dc.contributor.author Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.contributor.author Davendra, Donald David
dc.date.accessioned 2012-11-02T13:04:59Z
dc.date.available 2012-11-02T13:04:59Z
dc.date.issued 2013
dc.identifier.citation Mathematical and computer modelling. 2013, vol. 57, issues 1-2, p. 57-67. cs
dc.identifier.issn 0895-7177
dc.identifier.uri http://hdl.handle.net/10084/95669
dc.description.abstract This 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.iso en cs
dc.publisher Elsevier cs
dc.relation.ispartofseries Mathematical and computer modelling cs
dc.relation.uri http://dx.doi.org/10.1016/j.mcm.2011.05.030 cs
dc.subject chaos control cs
dc.subject analytic programming cs
dc.subject optimization cs
dc.subject evolutionary algorithms cs
dc.subject SOMA cs
dc.title Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming cs
dc.type article cs
dc.identifier.location Není ve fondu ÚK cs
dc.identifier.doi 10.1016/j.mcm.2011.05.030
dc.type.status Peer-reviewed cs
dc.description.source Web of Science cs
dc.description.volume 57 cs
dc.description.issue 1-2 cs
dc.description.lastpage 67 cs
dc.description.firstpage 57 cs
dc.identifier.wos 000308805600007

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