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Matlab toolbox for self-tuning predictive control of time-delayed systems

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dc.title Matlab toolbox for self-tuning predictive control of time-delayed systems en
dc.contributor.author Holiš, Radek
dc.contributor.author Bobál, Vladimír
dc.relation.ispartof Proceedings - European Council for Modelling and Simulation, ECMS
dc.identifier.issn 2522-2414 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-9932440-6-3
dc.date.issued 2018
dc.citation.spage 205
dc.citation.epage 211
dc.event.title 32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018
dc.event.location Wilhelmshaven
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2018-05-22
dc.event.edate 2018-05-25
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2018-0205
dc.relation.uri http://www.scs-europe.net/dlib/2018/2018-0205.htm
dc.relation.uri http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0205_mct_ecms2018_0797.pdf
dc.subject self-tuning control en
dc.subject Model Predictive Control en
dc.subject MPC en
dc.subject time-delay en
dc.subject MATLAB Toolbox en
dc.description.abstract The designed MATLAB/SIMULINK Toolbox is dedicated to develop and design predictive Self-Tuning Control (STC) algorithm for the time-delayed systems. In practice, many processes can exhibit time-delay in their dynamic behavior, which is mainly caused by a time needed for transport of the energy, information, or mass. In lights of these facts, it is necessary to develop suitable algorithm and verify its correct dynamic behavior using simulation first, so this Toolbox can be used in advantage. This paper deals with the basic principles of Model Predictive Control (MPC), calculation of control law, design process of the predictive controller and recursive identification of control process using Recursive Least Squares Method (RLSM). There are also many cases when compensation of measurable disturbance is required, so this Toolbox allows compensating of this disturbance. © ECMS Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008577
utb.identifier.obdid 43879309
utb.identifier.scopus 2-s2.0-85062822210
utb.identifier.wok 000656119000030
utb.source d-scopus
dc.date.accessioned 2019-07-08T11:59:56Z
dc.date.available 2019-07-08T11:59:56Z
utb.contributor.internalauthor Holiš, Radek
utb.contributor.internalauthor Bobál, Vladimír
utb.fulltext.affiliation Radek Holiš, Vladimír Bobál Department of Process Control Faculty of Applied Informatics, Tomas Bata University in Zlin Nad Stráněmi 4511, Zlin 76005, Czech Republic E-mail: rholis@fai.utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Holis, Radek; Bobal, Vladimir] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Proc Control, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stráněmi 4511, Zlin, 76005, Czech Republic
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Process Control
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