Kontaktujte nás | Jazyk: čeština English
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; [email protected] (M.S.); [email protected] (I.K.); [email protected] (V.B.); [email protected] (V.T.) 2 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stráněmi 4511, 760 05 Zlin, Czech Republic; [email protected] 3 VIPO, a. s., Gen. Svobodu 1069/4, 95801 Partizanske, Slovakia; [email protected] * Correspondence: [email protected]; 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 | |
utb.fulltext.ou | - |