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Multivariable gain scheduled control of four tanks system: Single scheduling variable approach

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dc.title Multivariable gain scheduled control of four tanks system: Single scheduling variable approach en
dc.contributor.author Krhovják, Adam
dc.contributor.author Talaš, Stanislav
dc.contributor.author Rušar, Lukáš
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-33387-8
dc.identifier.isbn 978-3-319-33389-2
dc.date.issued 2016
utb.relation.volume 466
dc.citation.spage 53
dc.citation.epage 62
dc.event.title 5th Computer Science On-line Conference, CSOC 2016
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2016-04-27
dc.event.edate 2016-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-33389-2_6
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-33389-2_6
dc.subject Four tanks system en
dc.subject Gain scheduled design en
dc.subject Integral control en
dc.description.abstract Motivated by the special class of nonlinear systems, we introduce a scheduling technique that aims at extending the region of validity of linearization by designing an extra scheduling mechanism. Specifically, we show, how a simplification of a control problem may results in a considerably difficult scheduling procedure. In particular, the scheduling problem in the context of a nonlinear model of four tanks is addressed. The main innovation consists in the use of auxiliary scheduling variables dealing with the problem of limited number of output variables. This allows to construct a linear feedback controller at each operating point. Additionally, an integral control which ensures desired stability and performance requirements is presented. The resulting method has been integrated into the gain scheduled control design of the four tanks system and has shown a great performance through the operating range. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006452
utb.identifier.scopus 2-s2.0-84964746102
utb.identifier.wok 000385788100006
utb.source d-scopus
dc.date.accessioned 2016-07-26T14:58:33Z
dc.date.available 2016-07-26T14:58:33Z
utb.identifier.utb-sysno 87692
utb.contributor.internalauthor Krhovják, Adam
utb.contributor.internalauthor Talaš, Stanislav
utb.contributor.internalauthor Rušar, Lukáš
utb.fulltext.affiliation Adam Krhovják, Stanislav Talaš and Lukáš Rušar A. Krhovják (&) S. Talaš L. Rušar Faculty of Applied Informatics, Department of Process Control, Tomas Bata University in Zlin, Zlin, Czech Republic e-mail: [email protected]
utb.fulltext.dates -
utb.fulltext.sponsorship This article was created with support of the Ministry of Education of the Czech Republic under grant IGA reg. n. IGA/FAI/2016/006.
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