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Adaptive Predictive Control of Time-Delay Systems

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dc.title Adaptive Predictive Control of Time-Delay Systems en
dc.contributor.author Bobál, Vladimír
dc.contributor.author Kubalčík, Marek
dc.contributor.author Dostál, Petr
dc.contributor.author Matějíček, Jakub
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 61
dc.citation.epage 72
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_9
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-642-33227-2_9
dc.description.abstract Design of an optimal controller for higher-order systems often leads to complex control algorithms. One of the possibilities of control of such processes is their approximation by a lower-order model with a time-delay (dead time). These time-delay processes can be effectively handled by model-based predictive control (MPC) method. The paper deals with design of an algorithm for adaptive predictive control of higher-order processes which are approximated by a second-order model of the process with a time-delay. The controller was tested and verified by simulation on experimental data from a laboratory model of a heat exchanger. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003135
utb.identifier.obdid 43869240
utb.identifier.scopus 2-s2.0-84874632888
utb.identifier.wok 000313767300009
utb.source d-wok
dc.date.accessioned 2013-02-24T06:51:46Z
dc.date.available 2013-02-24T06:51:46Z
utb.contributor.internalauthor Bobál, Vladimír
utb.contributor.internalauthor Kubalčík, Marek
utb.contributor.internalauthor Dostál, Petr
utb.contributor.internalauthor Matějíček, Jakub
utb.fulltext.affiliation Vladimir Bobal a,b,∗, Marek Kubalcik b, Petr Dostal a,b, Jakub Matejiceka a Centre of Polymer Systems, University Institute, Tomas Bata University in Zlin. Nad Ovcirnou 3685, 760 01 Zlin, Czech Republic b Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 760 01 Zlin, Czech Republic ∗ Corresponding author at: Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 760 01 Zlin, Czech Republic. Tel.: +420 576035197; fax: +420 57603 5279. E-mail addresses: bobal@fai.utb.cz (V. Bobal), kubalcik@fai.utb.cz (M. Kubalcik), dostalp@fai.utb.cz (P. Dostal), jakub.matejicek@seznam.cz (J. Matejicek).
utb.fulltext.dates -
utb.fulltext.sponsorship This article was created with support of Operational Programme Research and Development for Innovations co-funded by the European Regional Development Fund (ERDF), and the national budget of the Czech Republic within the framework of the Centre of Polymer Systems project (reg. no. CZ.1.05/2.1.00/03.0111).
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