Evolutionary synthesis of control rules by means of analytic programming for the purpose of high order oscillations stabilization of evolutionary synthesized chaotic system

Šenkeřík, Roman; Oplatková, Zuzana; Zelinka, Ivan

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 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn	2194-5365 Scopus Sources, 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	https://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.