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arXiv · 2211.16250

Data-driven port-Hamiltonian structured identification for non-strictly passive systems

Charles Poussot-Vassal·Denis Matignon·Ghilslain Haine·Pierre Vuillemin
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Abstract

In this work, we detail a procedure to construct a reduced order model on the basis of frequency-domain data, that preserves the non-strictly passive property and the port-Hamiltonian structure. The proposed scheme is based on Benner et al. (2020) contribution, which has been adapted (i) to handle non-strictly passive model, and (ii) to handle numerical issues observed when applying the Loewner framework on complex configurations. We validate the proposed scheme on a very complex two-dimensional wave equation, for which the discretized version preserves the port-Hamiltoninan form.

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Charles Poussot-Vassal, Denis Matignon, Ghilslain Haine, Pierre Vuillemin. 2022-11-29. Data-driven port-Hamiltonian structured identification for non-strictly passive systems. https://arxiv.org/abs/2211.16250

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