6 citations · 8 across the 13 of their papers we have counts for
3 papers · 1 filter
Neural Scaling Laws for Learning-based Identification of Nonlinear Systems
Marco Roschkowski, Karim Cherifi, Hannes Gernandt
The use of machine learning models in system identification has increased due to their ability to approximate complex nonlinear dynamics with high accuracy. However, often it is no…
Computing the nearest scattering passive system
Karim Cherifi, Nicolas Gillis, Punit Sharma
In this paper, we consider linear time-invariant control systems which are bounded real, also known as scattering passive. Our main theoretical contribution is to show the equivale…
Nonlinear port-Hamiltonian system identification from input-state-output data (ISO-pHNN)
Karim Cherifi, Achraf El Messaoudi, Hannes Gernandt +1
In this paper, we introduce a framework called ISO-pHNN for identifying nonlinear port-Hamiltonian systems using input-state-output data. The framework utilizes neural networks' un…