6 citations · 6 across the 10 of their papers we have counts for
5 papers · 1 filter
Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification
Achraf El Messaoudi, Noureddine Khaous, Karim Cherifi
Machine learning is becoming increasingly important for nonlinear system identification, including dynamical systems with spatially distributed outputs. However, classical identifi…
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…
A Greedy Data Collection Scheme For Linear Dynamical Systems
Karim Cherifi, Pawan Goyal, Peter Benner
Mathematical models are essential to analyze and understand the dynamics of complex systems. Recently, data-driven methodologies have got a lot of attention which is leveraged by a…
A Non-Intrusive Method to Inferring Linear Port-Hamiltonian Realizations using Time-Domain Data
Karim Cherifi, Pawan Goyal, Peter Benner
Port-Hamiltonian systems have gained a lot of attention in recent years due to their inherent valuable properties in modeling and control. In this paper, we are interested in const…
Solvents based model reduction of linear systems
Karim Cherifi, Kamel Hariche
Model order reduction is the approximation of dynamical systems into equivalent systems with smaller order. Model reduction has been studied extensively for different types of syst…