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Evolutionary Synthesis of Control Rules by Means of Analytic Programming for the Purpose of High Order Oscillations Stabilization of Evolutionary Synthesized Chaotic System

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dc.title Evolutionary Synthesis of Control Rules by Means of Analytic Programming for the Purpose of High Order Oscillations Stabilization of Evolutionary Synthesized Chaotic System en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
dc.identifier.issn 2194-5357 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.issn 2194-5365 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-642-33226-5
dc.identifier.isbn 978-3-642-33227-2
dc.date.issued 2013
utb.relation.volume 192
dc.citation.spage 191
dc.citation.epage 201
dc.event.title Nostradamus Conference
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-09
dc.event.edate 2012-09
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin en
dc.identifier.doi 10.1007/978-3-642-33227-2_21
dc.relation.uri http://link.springer.com/chapter/10.1007/978-3-642-33227-2_21
dc.description.abstract In this paper, it is presented a utilization of tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new control law. This synthesized chaotic controller secures the stabilization of high periodic orbit oscillations between several values of selected one-dimensional discrete chaotic system, which is artificially evolutionary synthesized system. The paper consists of the descriptions of analytic programming as well as chaotic system, used evolutionary techniques and the 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/10563/1003142
utb.identifier.obdid 43869194
utb.identifier.scopus 2-s2.0-84874594489
utb.identifier.wok 000313767300021
utb.source d-wok
dc.date.accessioned 2013-02-24T06:52:27Z
dc.date.available 2013-02-24T06:52:27Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Oplatková, Zuzana
utb.fulltext.affiliation Roman Senkerik 1 , Zuzana Oplatkova 1 , and Ivan Zelinka 2 1 Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic. {senkerik,oplatkova}@fai.utb.cz 2 VŠB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic. ivan.zelinka@vsb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and the project IT4Innovations Centre of Excellence No. CZ.1.05/1.1.00/02.0070.
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