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Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method

Schmitt, Thomas and Ritter, Bastian (2020):
Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method.
Germany, 21st IFAC World Congress, Berlin, Germany, DOI: 10.25534/tuprints-00011713,
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Item Type: Conference or Workshop Item
Title: Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method
Language: English
Place of Publication: Germany
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
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
Event Title: 21st IFAC World Congress
Event Location: Berlin, Germany
Date Deposited: 10 Jun 2020 12:33
Last Modified: 09 Jul 2020 06:32
DOI: 10.25534/tuprints-00011713
URN: urn:nbn:de:tuda-tuprints-117136
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/11713
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