Conference Time: 10th May 2024, 12:47:10pm CEST
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
S20.04: Data-based methods & learning
Time:
Wednesday, 20/Mar/2024:
2:00pm - 4:00pm
Session Chair: Friedrich Philipp Session Chair: Amine Othmane
Location: G22/122 Conference Room 122 in Building 22; size: 40
Presentations
2:00pm - 2:40pm Data-based methods for control: Why and how to incorporate machine learning
K. Bieker
LMU München
2:40pm - 3:00pm High Gain Observer Design for Nonlinear Systems using Machine Learning
J. Fiedler , D. Gerbet, K. Röbenack
TU Dresden
3:00pm - 3:20pm Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems
S. Peitz 1 , H. Harder1 , F. Nüske2 , F. Philipp3 , M. Schaller3 , K. Worthmann3
1 Paderborn University; 2 Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg; 3 TU Ilmenau
3:20pm - 3:40pm Online learning with joint state and model estimation
R.-S. Götte , J. Timmermann
Paderborn University
3:40pm - 4:00pm Adaptive Data-Driven Models in Port-Hamiltonian Form for Control Design
A. Junker , J. Timmermann, A. Trächtler
Paderborn University
