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Convenient optimization strategy implemented in multivariable predictive control

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dc.title Convenient optimization strategy implemented in multivariable predictive control en
dc.contributor.author Kubalčík, Marek
dc.contributor.author Bobál, Vladimír
dc.contributor.author Barot, Tomáš
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 210
dc.event.title 22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018
dc.event.location Majorca
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2018-07-14
dc.event.edate 2018-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/201821002022
dc.description.abstract A significantly important part of model predictive control (MPC) with constraints is a solution of an optimization task. The result of the optimization is a vector of future increments of a manipulated variable. The first element of this vector is applied in the next sampling period of MPC in the framework of a receding horizon strategy. In practical realization of a multivariable MPC, the optimization is characterized by higher computational complexity. Therefore, reduction of the computational complexity of the optimization methods has been widely researched. One suitable principle of precomputing operations was proposed by Wang, L. This general optimization strategy is further modified in this paper. Decreasing of the computational complexity of the optimization by using of the proposed modification is discussed. © 2018 The Authors, published by EDP Sciences. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008342
utb.identifier.scopus 2-s2.0-85055489233
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:46Z
dc.date.available 2019-01-03T12:31:46Z
utb.contributor.internalauthor Kubalčík, Marek
utb.contributor.internalauthor Bobál, Vladimír
utb.scopus.affiliation Department of Process Control, Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, Zlin, 76005, Czech Republic; Department of Mathematics with Didactics, University of Ostrava, Faculty of Education, Mlynska 5, Ostrava, 70103, Czech Republic
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