Schmitt, Thomas ; Ritter, Bastian (2020)
Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method.
21st IFAC World Congress. Berlin, Germany
doi: 10.25534/tuprints-00011713
Conference or Workshop Item, Secondary publication

Preview

Text article_2020_Schmitt and Ritter_Data-based Identifiability and Observability Assessment for Nonlinear Control Systems using the Profile Likelihood Method_WITHLICENSEINFO.pdf Copyright Information: CC BY 4.0 International - Creative Commons, Attribution. Download (594kB) | Preview

Item Type:	Conference or Workshop Item
Type of entry:	Secondary publication
Title:	Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method
Language:	English
Date:	10 June 2020
Place of Publication:	Germany
Event Title:	21st IFAC World Congress
Event Location:	Berlin, Germany
DOI:	10.25534/tuprints-00011713
URN:	urn:nbn:de:tuda-tuprints-117136
Classification DDC:	600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions:	18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Systems and Mechatronics 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited:	10 Jun 2020 12:33
Last Modified:	13 Feb 2024 14:52
URI:	https://tuprints.ulb.tu-darmstadt.de/id/eprint/11713
PPN:	46670075X
Export:	HTML CitationBibTeXJSONMultiline CSVWinIBWdissIBW_RDASimple MetadataEP3 XML wrappedEndNoteData Cite XMLxMetaDissDublin Core - OAI SchemaMODSEP3 XMLMPEG-21 DIDLAtomASCII CitationASCII Citation with IDNepicurDublin CoreXMetaDissPlusDublin CoreRefer

Actions (login required)

View Item