Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with
Physics Prior

Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior

15 May 2023

Jacob H. Seidman

George J. Pappas

Papers citing "Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior"

8 / 8 papers shown

Title
Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Kaiyuan Tan Peilun Li J. Wang Thomas Beckers AI4CE 17 0 0 24 Apr 2025
Data-driven identification of latent port-Hamiltonian systems J. Rettberg Jonas Kneifl Julius Herb Patrick Buchfink Jörg Fehr B. Haasdonk PINN 19 2 0 15 Aug 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes Peter Zaspel Michael Günther 28 2 0 26 Jun 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay A. Atanasov 28 10 0 17 Jan 2024
Gaussian process learning of nonlinear dynamics Dongwei Ye Mengwu Guo 18 4 0 19 Dec 2023
Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems Marco Lepri Davide Bacciu Cosimo Della Santina AI4CE 35 8 0 11 Dec 2023
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification Thomas Beckers Tom Z. Jiahao George J. Pappas 31 2 0 15 May 2023