Publication:

Neural Network Augmented Physics Models for Systems With Partially Unknown Dynamics: Application to Slider-Crank Mechanism

Date

2022
Journal article
https://doi.org/10.1109/TMECH.2021.3058536
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dc.contributor.authorDe Groote, Wannes
dc.contributor.authorKikken, Edward
dc.contributor.authorHostens, Erik
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.authorCrevecoeur, Guillaume
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidextDe Groote, Wannes::0000-0002-2216-7069
dc.contributor.orcidextHostens, Erik::0000-0003-2482-7523
dc.contributor.orcidextCrevecoeur, Guillaume::0000-0001-7630-8579
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.date.accessioned2023-06-05T12:03:14Z
dc.date.available2023-06-05T12:03:14Z
dc.date.embargo2022-12-31
dc.date.issued2022
dc.description.wosFundingTextThis work was supported in part by Flanders Make, the strategic research centre for the manufacturing industry, through the Flanders Make ICON MODA project, and in part by the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie Vlaanderen" program. The work of Wannes De Groote by the Fund for Scientific Research Flanders (FWO) through a doctoral grant strategic basis research (3S07219).
dc.identifier.doi10.1109/TMECH.2021.3058536
dc.identifier.issn1083-4435
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41689
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage103
dc.source.endpage114
dc.source.issue1
dc.source.journalIEEE-ASME TRANSACTIONS ON MECHATRONICS
dc.source.numberofpages12
dc.source.volume27
dc.subject.keywordsIDENTIFICATION
dc.subject.keywordsDESIGN
dc.title

Neural Network Augmented Physics Models for Systems With Partially Unknown Dynamics: Application to Slider-Crank Mechanism

dc.typeJournal article
dspace.entity.typePublication
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