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

Šenkeřík, Roman; Komínková Oplatková, Zuzana; Zelinka, Ivan; Pluháček, Michal

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 ([email protected])
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	-