4 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.SY2022★ 4 cited
Identification of Friction Models for MPC-based Control of a PowerCube Serial Robot
Jörg Fehr, Arnim Kargl, Hannes Eschmann
For model-based control, an accurate and in its complexity suitable representation of the real system is a decisive prerequisite for high and robust control quality. In a structure…
math.DS2021
Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme
Jonas Kneifl, Julian Hay, Jörg Fehr
Recent research in non-intrusive data-driven model order reduction (MOR) enabled accurate and efficient approximation of parameterized ordinary differential equations (ODEs). Howev…
math.OC2021★ 2 cited
Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators
Jonas Nicodemus, Jonas Kneifl, Jörg Fehr +1
We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising…