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Predictive control with measurable disturbances

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dc.title Predictive control with measurable disturbances en
dc.contributor.author Kubalčík, Marek
dc.contributor.author Barot, Tomáš
dc.relation.ispartof Proceedings - 26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022
dc.identifier.isbn 978-1-6654-8186-1
dc.date.issued 2022
dc.citation.spage 23
dc.citation.epage 28
dc.event.title 26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022
dc.event.location Chania, Crete Island
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2022-07-19
dc.event.edate 2022-07-22
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CSCC55931.2022.00014
dc.relation.uri https://ieeexplore.ieee.org/document/10017565
dc.relation.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10017565
dc.subject CARIMA model en
dc.subject measurable disturbances en
dc.subject predictive control en
dc.subject quality of control en
dc.description.abstract Most of the processes that need to be controlled are affected by external disturbances. In many cases, the disturbances can be measured. A control method that can successfully cope with disturbances which are known in advance is predictive control. The disturbances known in advance can be incorporated into calculation of the manipulated variable in predictive control. In many control applications, the disturbances are measurable but unknown in advance. In this case, the future course of the disturbance must be estimated on the basis of its past values. This paper proposes different approaches to estimation of future course of the measurable disturbances in predictive control. Particular approaches were compared by simulation. © 2022 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011414
utb.identifier.obdid 43884152
utb.identifier.scopus 2-s2.0-85147729276
utb.source d-scopus
dc.date.accessioned 2023-02-25T13:54:26Z
dc.date.available 2023-02-25T13:54:26Z
utb.ou Department of Process Control
utb.contributor.internalauthor Kubalčík, Marek
utb.fulltext.sponsorship -
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Department of Process Control, Zlín, Czech Republic; University of Ostrava, Faculty of Education, Department of Mathematics with Didactics, Ostrava, Czech Republic
utb.fulltext.projects -
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