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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 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 165
dc.citation.epage 176
dc.type article
dc.language.iso en
dc.publisher Pergamon Elsevier Science Ltd. en
dc.identifier.doi 10.1016/j.camwa.2013.01.035
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0898122113000655
dc.subject Adaptive control en
dc.subject Model predictive control en
dc.subject Prediction en
dc.subject Process identification en
dc.subject Recursive least squares method en
dc.subject Time-delay process en
dc.description.abstract Design of an optimal controller for higher-order or time-delay 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 the 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. Most processes in industrial practice are characterized by nonlinear behavior and contain uncertainties. The adaptive control strategy is one of the possible approaches to optimal control of such systems. The proposed adaptive predictive controller for control of the time-delay system was tested and verified by simulation of a model of a laboratory heat exchanger which was obtained from measured experimental data. © 2013 Elsevier Ltd. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003406
utb.identifier.obdid 43870248
utb.identifier.scopus 2-s2.0-84880212300
utb.identifier.wok 000321941300008
utb.identifier.coden CMAPD
utb.source j-scopus
dc.date.accessioned 2013-07-27T14:55:58Z
dc.date.available 2013-07-27T14:55:58Z
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).
utb.fulltext.faculty University Institute
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Centre of Polymer Systems
utb.fulltext.ou Department of Process Control
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