Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems

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

dc.title	Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems	en
dc.contributor.author	Komínková Oplatková, Zuzana
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Pluháček, Michal
dc.relation.ispartof	Computers and Mathematics with Applications
dc.identifier.issn	0898-1221 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2013
utb.relation.volume	66
utb.relation.issue	2
dc.citation.spage	177
dc.citation.epage	189
dc.type	article
dc.language.iso	en
dc.publisher	Pergamon Elsevier Science Ltd.	en
dc.identifier.doi	10.1016/j.camwa.2013.02.008
dc.relation.uri	https://www.sciencedirect.com/science/article/pii/S0898122113001004
dc.subject	Analytic programming	en
dc.subject	Chaos control	en
dc.subject	Differential evolution	en
dc.subject	SOMA	en
dc.subject	Symbolic regression	en
dc.description.abstract	This paper deals with the utilization of a symbolic regression tool, which is Analytic Programming (AP), together with two evolutionary algorithms, the Self-Organizing Migrating Algorithm (SOMA) and Differential Evolution (DE), for the synthesis of a new control law. This synthesized chaotic controller secures the stabilization of higher periodic orbits, which represent oscillations between several values of three selected discrete chaotic systems. Selected examples were: an artificially evolutionary synthesized system, logistic equation and Hénon map. The paper consists of the description of analytic programming as well as chaotic systems used, evolutionary techniques and the cost function. © 2013 Elsevier Ltd. All rights reserved.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1003404
utb.identifier.obdid	43870246
utb.identifier.scopus	2-s2.0-84880228268
utb.identifier.wok	000321941300009
utb.identifier.coden	CMAPD
utb.source	j-scopus
dc.date.accessioned	2013-07-27T14:55:51Z
dc.date.available	2013-07-27T14:55:51Z
utb.contributor.internalauthor	Komínková Oplatková, Zuzana
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Pluháček, Michal
utb.fulltext.affiliation	Zuzana Kominkova Oplatkova a , Roman Senkerik a, Ivan Zelinka b , Michal Pluhaceka a Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam. T.G. Masaryka 5555, 760 01 Zlin, Czech Republic b VŠB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic Corresponding author. Tel.: +420 57 603 5189. E-mail addresses: [email protected] (Z. Kominkova Oplatkova), [email protected] (R. Senkerik), [email protected] (I. Zelinka), [email protected] (M. Pluhacek).
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, the project IT4Innovations Centre of Excellence No. CZ.1.05/1.1.00/02.0070, the Grant Agency of the Czech Republic: GACR 13-08195S, and by the Development of human resources in research and development of latest soft computing methods and their application in practice project No. CZ.1.07/2.3.00/20.0072 funded by the Operational Programme Education for Competitiveness, co-financed by ESF and the state budget of the Czech Republic.
utb.fulltext.projects	CZ.1.05/2.1.00/03.0089
utb.fulltext.projects	CZ.1.05/1.1.00/02.0070
utb.fulltext.projects	GACR 13-08195S
utb.fulltext.projects	CZ.1.07/2.3.00/20.0072
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.ou	-