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Primary method of quadratic programming in multivariable predictive control with constraints

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dc.title Primary method of quadratic programming in multivariable predictive control with constraints en
dc.contributor.author Barot, Tomáš
dc.contributor.author Kubalčík, Marek
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319074009
dc.date.issued 2014
utb.relation.volume 289
dc.citation.spage 185
dc.citation.epage 193
dc.event.title International conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-06-23
dc.event.edate 2012-06-25
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-07401-6_18
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-07401-6_18
dc.description.abstract General Predictive Control (GPC) is a modern method for process control which is appropriate for many characters of processes. In this paper there is proposed possibility of optimization, which is performed in each sampling period, in the GPC algorithm. Lower time of calculations is in general important for GPC control of multivariable systems with many constraints. An improvement of a primary method of quadratic programming task is proposed in this paper. Computational time can be reduced by changes in details of the optimization method. Time reserves are analyzed in a case of a nonlinear constrained problem which is represented by the Active Set Method. The improved method is presented and results are discussed in simulations. © Springer International Publishing Switzerland 2014 en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004561
utb.identifier.obdid 43872763
utb.identifier.scopus 2-s2.0-84927621282
utb.source d-scopus
dc.date.accessioned 2015-05-28T11:39:21Z
dc.date.available 2015-05-28T11:39:21Z
utb.contributor.internalauthor Barot, Tomáš
utb.contributor.internalauthor Kubalčík, Marek
utb.fulltext.affiliation Tomáš Barot and Marek Kubalčík Department of Process Control, Tomas Bata University in Zlín, Faculty of Applied Informatics, nám. T. G. Masaryka 5555, 76001 Zlín, Czech Republic {barot,kubalcik}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship The article was realized with financial support of IGA, Tomas Bata University in Zlín, Faculty of Applied Informatics number IGA/FAI/2014/002.
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