Session | ||
S20.04: Data-based methods & learning
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Presentations | ||
2:00pm - 2:40pm
Data-based methods for control: Why and how to incorporate machine learning LMU München 2:40pm - 3:00pm
High Gain Observer Design for Nonlinear Systems using Machine Learning TU Dresden 3:00pm - 3:20pm
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems 1Paderborn University; 2Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg; 3TU Ilmenau 3:20pm - 3:40pm
Online learning with joint state and model estimation Paderborn University 3:40pm - 4:00pm
Adaptive Data-Driven Models in Port-Hamiltonian Form for Control Design Paderborn University |