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Optimized 8-parameter relay-based delayed thermal process model identification via saturated relay and artificial delay

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dc.title Optimized 8-parameter relay-based delayed thermal process model identification via saturated relay and artificial delay en
dc.contributor.author Pekař, Libor
dc.contributor.author Kuklišová Pavelková, Lenka
dc.contributor.author Matušů, Radek
dc.relation.ispartof Lecture Notes in Networks and Systems
dc.identifier.issn 2367-3370 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-031-21438-7
dc.date.issued 2023
utb.relation.volume 597
dc.citation.spage 118
dc.citation.epage 131
dc.event.title 6th Computational Methods in Systems and Software, CoMeSySo 2022
dc.event.location online
dc.event.sdate 2022-10-10
dc.event.edate 2022-10-15
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-3-031-21438-7_10
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-031-21438-7_10
dc.subject artificial delay en
dc.subject infinite-dimensional model en
dc.subject Nelder-Mead algorithm en
dc.subject relay-based identification en
dc.description.abstract This study aims at an extension and substantial improvement of the recently published relay-feedback parameter identification of an infinite-dimensional system thermal process model. The original procedure has applied the standard on/off relay to get a simplified model. Then, the dominant pole assignment has given rise to the process model characteristic quasi-polynomial via the Levenberg-Marquardt algorithm. Finally, the same optimization tool has been used to determine transfer function numerator parameters. On the contrary, a saturated relay is used to receive an improved initial simplified-model estimation in this contribution. As the process model in question has eight unknown parameters, a doubled relay test with artificial delay is made, which enables the estimation of all the parameters simultaneously. Moreover, the Nelder-Mead algorithm is used as the optimization tool. A numerical example validates an enhanced estimation in time and frequency domains. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011442
utb.identifier.obdid 43884994
utb.identifier.scopus 2-s2.0-85148749407
utb.identifier.wok 000992418500010
utb.source d-scopus
dc.date.accessioned 2023-03-20T08:32:19Z
dc.date.available 2023-03-20T08:32:19Z
dc.description.sponsorship INT/2022/0002; GAČR 21-45465L
dc.description.sponsorship College of Polytechnics Jihlava [INT/2022/0002]; Czech Science Foundation [R21-45465L]
utb.contributor.internalauthor Pekař, Libor
utb.contributor.internalauthor Matušů, Radek
utb.fulltext.sponsorship This research was supported by the College of Polytechnics Jihlava, under grant no. INT/2022/0002 “Identification and Control of Time-Delay Systems via Parameter Optimization Methods”, and by The Czech Science Foundation under grant no. GAČR 21-45465L.
utb.wos.affiliation [Pekar, Libor; Pavelkova, Lenka Kuklisova] Coll Polytech Jihlava, Tolsteho 1556, Jihlava 58601, Czech Republic; [Pekar, Libor; Matusu, Radek] Tomas Bata Univ Zlin, Nam TG Masaryka 5555, Zlin 76001, Czech Republic; [Pavelkova, Lenka Kuklisova] Czech Acad Sci, Inst Informat Theory & Automat, Vodarenskou Vezi 4, Prague, Czech Republic
utb.scopus.affiliation College of Polytechnics Jihlava, Tolstého 1556, Jihlava, 586 01, Czech Republic; Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, Zlín, 76001, Czech Republic; Czech Academy of Sciences, Institute of Information Theory and Automation, Pod Vodárenskou věží 4, Prague, Czech Republic
utb.fulltext.projects INT/2022/0002
utb.fulltext.projects 21-45465L
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