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Evolutionary synthesis of rules for stabilization of selected discrete chaotic systems

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dc.title Evolutionary synthesis of rules for stabilization of selected discrete chaotic systems en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Oplatková, Zuzana
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 150
dc.citation.epage 156
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 Analytic programming en
dc.subject Chaos en
dc.subject Control en
dc.subject Evolutionary computation en
dc.subject Optimization en
dc.description.abstract This research deals with a utilization of tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new control laws. These synthesized chaotic controllers secure the stabilization of stable state of four selected discrete chaotic system. The systems of interest were the one-dimensional noninvertible map (Cubic map) and three examples of two-dimensional dissipative maps (Lozi, Burgers and Delayed Logistic map). The paper consists of the descriptions of analytic programming as well as chaotic systems, used heuristic and cost function. For experimentation, Self-Organizing Migrating Algorithm (SOMA) and Differential evolution (DE) were used. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004707
utb.identifier.obdid 43869192
utb.identifier.scopus 2-s2.0-84883025326
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:55:02Z
dc.date.available 2015-06-04T12:55:02Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Oplatková, Zuzana
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