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Applied quadratic programming with principles of statistical paired tests

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dc.title Applied quadratic programming with principles of statistical paired tests en
dc.contributor.author Barot, Tomáš
dc.contributor.author Krpec, Radek
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 9783030313616
dc.date.issued 2019
utb.relation.volume 1047
dc.citation.spage 278
dc.citation.epage 287
dc.event.title 3rd Conference on Computational Methods in Systems and Software (CoMeSySo)
dc.event.location online
dc.event.sdate 2019-10-03
dc.event.edate 2019-10-05
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer
dc.identifier.doi 10.1007/978-3-030-31362-3_27
dc.relation.uri https://link.springer.com/chapter/10.1007%2F978-3-030-31362-3_27
dc.subject hypothesis testing en
dc.subject optimization en
dc.subject quadratic programming en
dc.subject multivariable MPC en
dc.subject control quality en
dc.description.abstract In applied research areas, various types of mathematical disciplines have been advantageously connected together with wide corresponding applications. As an applied proposal of this connection, a numerical optimization method of the quadratic programming particularly modified by a principle of statistical hypothesis testing can be seen in this paper. With regards to a computational complexity, algorithms of multivariable Model Predictive Control (MPC) can be considered as procedures with a higher computational complexity caused by the multi-variability, higher horizons and included constraints conditions. A wide spectrum of modifications has been proposed in the optimization subsystem of MPC controller yet; however, approaches based on including the hypotheses testing have not been widely considered in applied optimization method. A number of operations should be decreased; however, a control quality may be slightly influenced with regards to this aim. Therefore, the proposed modification is advantageous in an applied form of the quadratic programming technique where necessary information for following steps of a process control are provided. Achieved results are discussed in order to the incorporating of the principle of hypotheses testing in the modified numerical method of the applied quadratic programming. © 2019, Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009483
utb.identifier.obdid 43880844
utb.identifier.scopus 2-s2.0-85075606430
utb.identifier.wok 000627307100027
utb.source d-scopus
dc.date.accessioned 2019-12-20T12:39:23Z
dc.date.available 2019-12-20T12:39:23Z
utb.ou Department of Process Control
utb.contributor.internalauthor Kubalčík, Marek
utb.fulltext.affiliation Tomas Barot 1, Radek Krpec 1, Marek Kubalcik 2 1 Department of Mathematics with Didactics, Faculty of Education, University of Ostrava, Fr. Sramka 3, 709 00 Ostrava, Czech Republic {Tomas.Barot,Radek.Krpec}@osu.cz 2 Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 760 05 Zlin, Czech Republic Kubalcik@fai.utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Barot, Tomas; Krpec, Radek] Univ Ostrava, Fac Educ, Dept Math Didact, Fr Sramka 3, Ostrava 70900, Czech Republic; [Kubalcik, Marek] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Proc Control, Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Department of Mathematics with Didactics, Faculty of Education, University of Ostrava, Fr. Sramka 3, Ostrava, 709 00, Czech Republic; Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, 760 05, Czech Republic
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Process Control
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