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Design and simulation of self-tuning predictive control of time-delay processes

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dc.title Design and simulation of self-tuning predictive control of time-delay processes en
dc.contributor.author Bobál, Vladimír
dc.contributor.author Kubalčík, Marek
dc.contributor.author Dostál, Petr
dc.relation.ispartof Proceedings 27th European Conference on Modelling and Simulation ECMS 2013
dc.identifier.isbn 978-0-9564944-6-7
dc.date.issued 2013
dc.citation.spage 407
dc.citation.epage 414
dc.event.title 27th European Conference on Modelling and Simulation, ECMS 2013
dc.event.location Alesund
utb.event.state-en Norway
utb.event.state-cs Norsko
dc.event.sdate 2013-05-27
dc.event.edate 2013-05-30
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation (ECMS)
dc.identifier.doi 10.7148/2013-0407
dc.relation.uri http://www.scs-europe.net/dlib/2013/2013-0407.htm
dc.relation.uri http://www.scs-europe.net/dlib/2013/ecms13papers/mct_ECMS2013_0100.pdf
dc.subject Time-delay systems en
dc.subject Model Predictive Control en
dc.subject CARIMA model en
dc.subject Quadratic criterion en
dc.subject Simulation en
dc.description.abstract Majority industrial processes such as thermal, chemical biological, metallurgical, plastic etc., have time-delays. Therefore, the problem of the identification and optimal control of such systems is of great importance. These time-delay processes can be effectively handled by the Model-based Predictive Control method. The paper deals with design of an algorithm for self-tuning predictive control of such processes. The self-tuning principle is one of possible approaches to control of nonlinear systems or systems with uncertainties. Three types of processes were chosen for simulation verification of the designed self-tuning predictive controller. The program system MATLAB/SIMULINK was used for testing and verification of this predictive controller. en
utb.faculty University Institute
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003825
utb.identifier.obdid 43871099
utb.identifier.scopus 2-s2.0-84900345481
utb.identifier.wok 000337114500062
utb.source d-wok
dc.date.accessioned 2014-08-05T09:56:35Z
dc.date.available 2014-08-05T09:56:35Z
utb.ou Centre of Polymer Systems
utb.contributor.internalauthor Bobál, Vladimír
utb.contributor.internalauthor Kubalčík, Marek
utb.contributor.internalauthor Dostál, Petr
utb.fulltext.affiliation Vladimír Bobál1,2, Marek Kubalčík2 and Petr Dostál1,2 Tomas Bata University in Zlín 1 Centre of Polymer Systems, University Institute 2 Department of Process Control, Faculty of Applied Informatics T. G. Masaryka 5555 760 01 Zlín Czech Republic E-mail: bobal@fai.utb.cz
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), national budget of Czech Republic within the framework of the Centre of Polymer Systems project (reg. number: CZ.1.05/2.1.00/03.0111).
utb.fulltext.projects 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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