Modeling, simulation and code-generation of multiphysical Port-Hamiltonian Systems in Python.
- Updated
Feb 11, 2022 - Python
Modeling, simulation and code-generation of multiphysical Port-Hamiltonian Systems in Python.
Fault-tolerant formation control using energy tanks
Port-Hamiltonian Approach to Neural Network Training
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
A collection of port-Hamiltonian benchmark systems
Port-Hamiltonian Modeling of 3D Truss Structures and Frames
MORpH - Model reduction of port-Hamiltonian systems
Virtual analog models of Moog VCF
Python code and Jupyter notebooks for producing the simulation results of my master's thesis.
Based on my master's thesis on synchronization of two coupled 5D Hindmarsh-Rose neurons. Using port-Hamiltonian Physics Informed Neural Network (pH-PINN) to predict Hamiltonian energy of synchronization dynamics of coupled neurons based on trajectory data. We employed analytical solution on Hamiltonian energy to validate the pH-PINN results.
Port-Hamiltonian systems in Julia
This repository contains the code for the paper "Kinon, P. L., Morandin, R. & Schulze, P. (2025): Discrete gradient methods for port-Hamiltonian differential-algebraic equations."
pydykit: A Python-based dynamics simulation toolkit.
A compositional, energy-based software framework for modeling mechanical, electromagnetic and thermodynamic systems
Port-Hamiltonian Model for Gas Networks with Compressors (mirror repository)
Model reduction for port-Hamiltonian and passive systems in Julia
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