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, Primary publication

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Item Type:	Conference or Workshop Item
Type of entry:	Primary publication
Title:	Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method
Language:	English
Date:	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 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
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:	09 Jul 2020 06:32
URI:	https://tuprints.ulb.tu-darmstadt.de/id/eprint/11713
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