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Methods of pre-identification of TITO systems

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dc.title Methods of pre-identification of TITO systems en
dc.contributor.author Sága, Milan
dc.contributor.author Perůtka, Karel
dc.contributor.author Kuric, Ivan
dc.contributor.author Zajačko, Ivan
dc.contributor.author Bulej, Vladimír
dc.contributor.author Tlach, V.ladimír
dc.contributor.author Bezák, Martin
dc.relation.ispartof Applied Sciences (Switzerland)
dc.identifier.issn 2076-3417 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
utb.relation.volume 11
utb.relation.issue 15
dc.type article
dc.language.iso en
dc.publisher MDPI AG
dc.identifier.doi 10.3390/app11156954
dc.relation.uri https://www.mdpi.com/2076-3417/11/15/6954
dc.subject pre-identification en
dc.subject least squares method en
dc.subject instrumental variable method en
dc.subject robotics en
dc.subject sensor en
dc.description.abstract The content of this article is the presentation of methods used to identify systems before actual control, namely decentralized control of systems with Two Inputs, Two Outputs (TITO) and with two interactions. First, theoretical assumptions and reasons for using these methods are given. Subsequently, two methods for systems identification are described. At the end of this article, these specific methods are presented as the pre-identification of the chosen example. The Introduction part of the paper deals with the description of decentralized control, adaptive control, decentralized control in robotics and problem formulation (fixing the identification time at the existing decentralized self-tuning controller at the beginning of control and at the beginning of any set-point change) with the goal of a new method of identification. The Materials and methods section describes the used decentralized control method, recursive identification using approximation polynomials and least-squares with directional forgetting, recursive instrumental variable, self-tuning controller and suboptimal quadratic tracking controller, so all methods described in the section are those ones that already exist. Another section, named Assumptions, newly formulates the necessary background information, such as decentralized controllability and the system model, for the new identification method formulated in Pre-identification section. This section is followed by a section showing the results obtained by simulations and in real-time on a Coupled Drives model in the laboratory. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010478
utb.identifier.obdid 43883215
utb.identifier.scopus 2-s2.0-85111718625
utb.identifier.wok 000681935100001
utb.source j-scopus
dc.date.accessioned 2021-08-17T07:36:51Z
dc.date.available 2021-08-17T07:36:51Z
dc.description.sponsorship European Regional Development Fund under the project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Ministry of Education, Science, research and Sport of the Slovak Republic [1247/2018]
dc.description.sponsorship Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; European Regional Development Fund, ERDF: CZ.1.05/2.1.00/03.0089
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Perůtka, Karel
utb.fulltext.affiliation Milan Saga 1, Karel Perutka 2, Ivan Kuric 1, Ivan Zajačko 1,* , Vladimír Bulej 1, Vladimír Tlach 1and Martin Bezák3 1 Faculty of Mechanical Engineering, University of Zilina, Univerzitna 8215/1, 01026 Zilina, Slovakia; milan.saga@fstroj.uniza.sk (M.S.); ivan.kuric@fstroj.uniza.sk (I.K.); vladimir.bulej@fstroj.uniza.sk (V.B.); vladimir.tlach@fstroj.uniza.sk (V.T.) 2 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stráněmi 4511, 760 05 Zlin, Czech Republic; kperutka@utb.cz 3 VIPO, a. s., Gen. Svobodu 1069/4, 95801 Partizanske, Slovakia; martin.bezak@vipo.sk * Correspondence: ivan.zajacko@fstroj.uniza.sk; Tel.: +421-910956861
utb.fulltext.dates Received: 21 April 2021 Accepted: 23 July 2021 Published: 28 July 2021
utb.fulltext.sponsorship Funding: This research was funded by by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. This research was funded by the Ministry of Education, Science, research and Sport of the Slovak Republic under the project STIMULY MATADOR 1247/2018. Project title: Research and development of modular reconfigurable production systems using Smart Industry principles for automotive with pilot application in MoBearing Line industry.
utb.wos.affiliation [Saga, Milan; Kuric, Ivan; Zajacko, Ivan; Bulej, Vladimir; Tlach, Vladimir] Univ Zilina, Fac Mech Engn, Univ 8215-1, Zilina 01026, Slovakia; [Perutka, Karel] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic; [Bezak, Martin] VIPO As, Gen Svobodu 1069-4, Partizanske 95801, Slovakia
utb.scopus.affiliation Faculty of Mechanical Engineering, University of Zilina, Univerzitna 8215/1, Zilina, 01026, Slovakia; Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stráněmi 4511, Zlin, 760 05, Czech Republic; VIPO, a. s., Gen. Svobodu 1069/4, Partizanske, 95801, Slovakia
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects STIMULY MATADOR 1247/2018
utb.fulltext.faculty Faculty of Applied Informatics
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