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Data-driven investigation of limit-cycle-oscillations by means of causal inference

Grimm, Stefan and Hochsprung, Tom and Gerhardus, Andreas (2025) Data-driven investigation of limit-cycle-oscillations by means of causal inference. WAW Machine Learning 11, 2025-10-28 - 2025-10-30, Oberpfaffenhofen.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/225699/
Document Type:Conference or Workshop Item (Speech)
Title:Data-driven investigation of limit-cycle-oscillations by means of causal inference
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Grimm, Stefanstefan.grimm (at) dlr.deUNSPECIFIEDUNSPECIFIED
Hochsprung, Tomtom.hochsprung (at) dlr.deUNSPECIFIEDUNSPECIFIED
Gerhardus, AndreasAndreas.Gerhardus (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:29 October 2025
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Causal Inference, Limit Cycle Oscillations, Flutter, Aeroelastics, Equation Learning, Wings
Event Title:WAW Machine Learning 11
Event Location:Oberpfaffenhofen
Event Type:Workshop
Event Start Date:28 October 2025
Event End Date:30 October 2025
Organizer:DLR Institut für Methodik der Fernerkundung, DLR Institut für Robotik und Mechatronik, DLR Institut für Hochfrequenztechnik und Radarsysteme
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Aircraft Technologies and Integration
Location: Jena
Institutes and Institutions:Institute of Data Science
Deposited By: Grimm, Stefan
Deposited On:21 Aug 2026 15:15
Last Modified:21 Aug 2026 15:15

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