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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,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Schmitt, Thomas and Ritter, Bastian
Title: Data-Based Identifiability and Observability Assessment for Nonlinear Control Systems Using the Profile Likelihood Method
Language: English
Place of Publication: Germany
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik
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
DOI: 10.25534/tuprints-00011713
Official URL: https://tuprints.ulb.tu-darmstadt.de/11713
URN: urn:nbn:de:tuda-tuprints-117136
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