C03: Data-driven surrogate modelling for differential-algebraic port-Hamiltonian systems
Principal investigators:
Prof. Dr. Michael Günther; Prof. Dr. Peter Zaspel
Project description:
Gaussian processes as port-Hamiltonian surrogate models make it possible to treat nonlinear Hamiltonian or effort functions in port-Hamiltonian differential equations, even and especially if they are not explicitly known. The project investigates how such surrogate models can be constructed from measured and synthetic data. A decisive advantage is that existing gaps in coupled port-Hamiltonian systems can be closed in a structure-preserving manner.
Researchers:
Publications of project C03:
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