2 papers
cs.LG2026
Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees
Luca Di Persio, Matthias Ehrhardt, Youness Outaleb
Stochastic port-Hamiltonian systems represent open dynamical systems with dissipation, inputs, and stochastic forcing in an energy based form. We introduce stochastic port-Hamilton…
math.DS2025
Modelling car-following dynamics with stochastic input-state-output port-Hamiltonian systems
Julia Ackermann, Matthias Ehrhardt, Thomas Kruse +1
In this contribution, we introduce a general class of car-following models with an input-state-output port-Hamiltonian structure. We derive stability conditions and long-term behav…