Schmitt, Thomas ; 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 |
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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 (from 01.08.2022 renamed Control Methods and Intelligent Systems) |
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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