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Multimodel approach in state-space predictive control

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dc.title Multimodel approach in state-space predictive control en
dc.contributor.author Rušar, Lukáš
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 232
dc.citation.epage 238
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 10.7148/2018-0232
dc.relation.uri http://www.scs-europe.net/dlib/2018/2018-0232.htm
dc.relation.uri http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0232_mct_ecms2018_0839.pdf
dc.subject predictive control en
dc.subject state-space en
dc.subject multimodel en
dc.subject inverted pendulum en
dc.subject predictor-corrector en
dc.description.abstract This paper presents a multimodel approach to control nonlinear systems. The system of the inverted pendulum which has one control input and two measured outputs was chosen as an exemplar process. This system is an example of the nonlinear process with a sampling period in order of milliseconds. The state-space predictive control of the system described by CARIMA model was chosen as a control method. This paper presents a description of the inverted pendulum nonlinear mathematical model, its linearization and the control signal calculation using predictor-corrector method. The results compare three methods of linearized model combination. All of the simulations were done in Matlab. © 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/10563/1008569
utb.identifier.obdid 43879445
utb.identifier.scopus 2-s2.0-85062868744
utb.identifier.wok 000656119000034
utb.source d-scopus
dc.date.accessioned 2019-07-08T11:59:55Z
dc.date.available 2019-07-08T11:59:55Z
dc.description.sponsorship Ministry of Education of the Czech Republic under grant IGA [IGA/CebiaTech/2018/002]
utb.contributor.internalauthor Rušar, Lukáš
utb.contributor.internalauthor Bobál, Vladimír
utb.fulltext.affiliation Lukáš Rušar, Vladimír Bobál Department of process control Faculty of applied informatics, Tomas Bata university in Zlin Nad Stráněmi 4511, Zlin 76005, Czech Republic E-mail: rusar@fai.utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Rusar, Lukas; Bobal, Vladimir] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Proc Control, 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.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Process Control
utb.fulltext.ou Department of Process Control
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