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

dc.contributor.author	Šika, Z.
dc.contributor.author	Kraus, K.
dc.contributor.author	Kočandrle, P.
dc.contributor.editor	Adámek, Vítězslav
dc.contributor.editor	Jonášová, Alena
dc.contributor.editor	Plánička, Stanislav
dc.date.accessioned	2023-12-11T15:56:25Z
dc.date.available	2023-12-11T15:56:25Z
dc.date.issued	2023
dc.description.sponsorship	The 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.format	2 s.	cs
dc.format.mimetype	application/pdf
dc.identifier.citation	Computational mechanics 2023: book of extended abstracts: 38th conference with international participation, p. 184-185.	en
dc.identifier.isbn	978-80-261-1177-1
dc.identifier.uri	http://hdl.handle.net/11025/54960
dc.language.iso	en	en
dc.publisher	University of West Bohemia	en
dc.rights	© 2023 University of West Bohemia, Plzeň, Czech Republic	en
dc.rights.access	openAccess	en
dc.subject	strojové učení	cs
dc.subject	LuGre model	cs
dc.subject	fyzikální model	cs
dc.subject	predikce	cs
dc.subject.translated	machine learning	en
dc.subject.translated	LuGre model	en
dc.subject.translated	physical model	en
dc.subject.translated	prediction	en
dc.title	Simulation of mechanism with frictional effects combining physical models and machine learning regression models	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en

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