Nonlinear system identification of a furuta pendulum using machine learning techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Proceedings in applied mathematics and mechanics 20 (1) : e202000036 (2021)
- Ereignis
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Veröffentlichung
- (wo)
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Hamburg
- (wer)
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Universitätsbibliothek der Technischen Universität Hamburg-Harburg
- (wann)
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2021
- DOI
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10.15480/882.3903
- URN
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urn:nbn:de:gbv:830-882.0158032
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Rückwald, Tobias
- Drücker, Svenja
- Dücker, Daniel-André
- Seifried, Robert
- Universitätsbibliothek der Technischen Universität Hamburg-Harburg
Entstanden
- 2021
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