3 papers
eess.SY2026
Horizon Selection in Physics-Enhanced Neural ODEs: Theoretical Insights and Flux Linkage Application
Giulio Montecchio, Benjamin Hartmann, Sven Reimann +3
The integration horizon during the training plays a critical role in Physics-Enhanced Neural Ordinary Differential Equations. We draw conclusions about horizon extension in the tra…
eess.SY2026
Joint identification of permanent magnet synchronous machine and inverter
Giulio Montecchio, Sven Reimann, Benjamin Hartmann +3
In electric drive modeling, identifying the magnetic flux maps is essential for predicting accurately the torque, parameterizing a controller for tracking the torque or creating a…
eess.SY2024
Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions
Leon Greiser, Ozan Demir, Benjamin Hartmann +2
Complicated first principles modelling and controller synthesis can be prohibitively slow and expensive for high-mix, low-volume products such as hydraulic excavators. Instead, in…