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Analytic programming in the task of evolutionary synthesis of the robust controller for selected discrete chaotic systems

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dc.title Analytic programming in the task of evolutionary synthesis of the robust controller for selected discrete chaotic systems en
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.contributor.author Pluháček, Michal
dc.relation.ispartof Proceedings 27th European Conference on Modelling and Simulation ECMS 2013
dc.identifier.isbn 978-0-9564944-6-7
dc.date.issued 2013
dc.citation.spage 398
dc.citation.epage 404
dc.event.title 27th European Conference on Modelling and Simulation, ECMS 2013
dc.event.location Alesund
utb.event.state-en Norway
utb.event.state-cs Norsko
dc.event.sdate 2013-05-27
dc.event.edate 2013-05-30
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation (ECMS)
dc.identifier.doi 10.7148/2013-0398
dc.relation.uri http://www.scs-europe.net/dlib/2013/2013-0398.htm
dc.relation.uri http://www.scs-europe.net/dlib/2013/ecms13papers/is_ECMS2013_0182.pdf
dc.subject Deterministic chaos en
dc.subject Control en
dc.subject Discrete chaotic maps en
dc.subject Evolutionary computation en
dc.subject Symbolic regression en
dc.subject Analytic programming en
dc.subject SOMA en
dc.subject Differential Evolution en
dc.description.abstract This research deals with a utilization of a tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new robust control law. This universal synthesized robust chaotic controller secures the fully stabilization of selected set of discrete chaotic systems. The paper consists of the descriptions of analytic programming as well as selected 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/10563/1003824
utb.identifier.obdid 43870784
utb.identifier.scopus 2-s2.0-84900329846
utb.identifier.wok 000337114500061
utb.source d-wok
dc.date.accessioned 2014-08-05T09:56:35Z
dc.date.available 2014-08-05T09:56:35Z
utb.ou CEBIA-Tech
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Pluháček, Michal
utb.fulltext.affiliation 1 Roman Senkerik, 1 Zuzana Kominkova Oplatkova, 2Ivan Zelinka, 1 Michal Pluhacek 1 Tomas Bata University in Zlin , Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {senkerik , oplatkova , pluhacek}@fai.utb.cz 2 Department of Computer Science, Faculty of Electrical Engineering and Computer Science VB-TUO, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic (ivan.zelinka@vsb.cz)
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic GACR P103/13/08195S; by the project Development of human resources in research and development of latest soft computing methods and their application in practice, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Program Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic; by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/012.
utb.fulltext.projects GACR P103/13/08195S
utb.fulltext.projects CZ.1.07/2.3.00/20.0072
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/FAI/2013/012
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou -
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