Simulation of mechanism with frictional effects combining physical models and machine learning regression models

dc.contributor.authorŠika, Z.
dc.contributor.authorKraus, K.
dc.contributor.authorKočandrle, P.
dc.contributor.editorAdámek, Vítězslav
dc.contributor.editorJonášová, Alena
dc.contributor.editorPlánička, Stanislav
dc.date.accessioned2023-12-11T15:56:25Z
dc.date.available2023-12-11T15:56:25Z
dc.date.issued2023
dc.description.sponsorshipThe work has been supported by the grant project “Identification and compensation of imperfections and friction effects in joints of mechatronic systems” No. 23-07280S of the Czech Science Foundation.en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationComputational mechanics 2023: book of extended abstracts: 38th conference with international participation, p. 184-185.en
dc.identifier.isbn978-80-261-1177-1
dc.identifier.urihttp://hdl.handle.net/11025/54960
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© 2023 University of West Bohemia, Plzeň, Czech Republicen
dc.rights.accessopenAccessen
dc.subjectstrojové učenícs
dc.subjectLuGre modelcs
dc.subjectfyzikální modelcs
dc.subjectpredikcecs
dc.subject.translatedmachine learningen
dc.subject.translatedLuGre modelen
dc.subject.translatedphysical modelen
dc.subject.translatedpredictionen
dc.titleSimulation of mechanism with frictional effects combining physical models and machine learning regression modelsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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