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Data-driven port-Hamiltonian structured identification for non-strictly passive systems
Published 29 Nov 2022 in eess.SY, cs.NA, cs.SY, math.DS, and math.NA | (2211.16250v2)
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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