TU Darmstadt / ULB / TUprints

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

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

[img]
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
Year of primary publication: 2020
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:
Actions (login required)
View Item View Item