Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/4687
Full metadata record
DC FieldValueLanguage
dc.contributor.authorİplikçi, Serdar-
dc.date.accessioned2019-08-16T11:36:18Z
dc.date.available2019-08-16T11:36:18Z
dc.date.issued2006-
dc.identifier.isbn03029743 (ISSN)-
dc.identifier.isbn3540386254-
dc.identifier.isbn9783540386254-
dc.identifier.urihttps://hdl.handle.net/11499/4687-
dc.description.abstractIn this study, the previously proposed Online Support Vector Machines Based Generalized Predictive Control method [1] is applied to the problem of stabilizing discrete-time chaotic systems with small parameter perturbations. The method combines the Accurate Online Support Vector Regression (AOSVR) algorithm [2] with the Support Vector Machines Based Generalized Predictive Control (SVM-Based GPC) approach [3] and thus provides a powerful scheme for controlling chaotic maps in an adaptive manner. The simulation results on chaotic maps have revealed that Online SVM-Based GPC provides an excellent online stabilization performance and maintains it when some measurement noise is added to output of the underlying map. © Springer-Verlag Berlin Heidelberg 2006.en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputer simulationen_US
dc.subjectOnline systemsen_US
dc.subjectPerturbation techniquesen_US
dc.subjectPredictive control systemsen_US
dc.subjectRegression analysisen_US
dc.subjectVectorsen_US
dc.subjectAccurate Online Support Vector Regression (AOSVR) algorithmen_US
dc.subjectOnline stabilizationen_US
dc.subjectSupport Vector Machines Based Generalized Predictive Control (SVM-Based GPC) approachen_US
dc.subjectChaos theoryen_US
dc.titleOnline stabilization of chaotic maps via support vector machines based generalized predictive controlen_US
dc.typeConference Objecten_US
dc.identifier.volume4131 LNCS - Ien_US
dc.identifier.startpage868
dc.identifier.startpage868en_US
dc.identifier.endpage877en_US
dc.authorid0000-0003-3806-1442-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-33749835807en_US
dc.identifier.wosWOS:000241472100090en_US
dc.ownerPamukkale_University-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept10.10. Computer Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

34
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.