Tell a friend
Print
Volkmar, Robin (2023) Autonomous and Reliable Aeroelastic System Identification using Density-based Clustering, Gaussian Processes and Kalman Filtering. Advances in Artificial Intelligence for Aerospace Engineering at Onera DLR Aerospace Symposium, 30. Mai 2023, Paris, Frankreich.
Full text not available from this repository.
| Item URL in elib: | https://elib.dlr.de/195964/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Autonomous and Reliable Aeroelastic System Identification using Density-based Clustering, Gaussian Processes and Kalman Filtering | ||||||||
| Authors: |
| ||||||||
| Date: | 2023 | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | ground vibration test, flight vibration test, clustering, Gaussian processes, Kalman filter | ||||||||
| Event Title: | Advances in Artificial Intelligence for Aerospace Engineering at Onera DLR Aerospace Symposium | ||||||||
| Event Location: | Paris, Frankreich | ||||||||
| Event Type: | Workshop | ||||||||
| Event Dates: | 30. Mai 2023 | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Aeronautics | ||||||||
| HGF - Program Themes: | Components and Systems | ||||||||
| DLR - Research area: | Aeronautics | ||||||||
| DLR - Program: | L CS - Components and Systems | ||||||||
| DLR - Research theme (Project): | L - Aircraft Systems | ||||||||
| Location: | Göttingen | ||||||||
| Institutes and Institutions: | Institute of Aeroelasticity > Structural Dynamics and System Identification | ||||||||
| Deposited By: | Volkmar, Robin | ||||||||
| Deposited On: | 17 Jul 2023 11:42 | ||||||||
| Last Modified: | 17 Jul 2023 11:42 |
Repository Staff Only: item control page
