A non-intrusive method to inferring linear port-Hamiltonian realizations using time-domain data
Authors
Karim Cherifi, Pawan Goyal, Peter Benner
Abstract
Port-Hamiltonian systems have gained a lot of attention in recent years due to their inherent valuable properties in modeling and control. In this paper, we are interested in constructing linear port-Hamiltonian systems from time-domain input-output data. We discuss a non-intrusive methodology that is comprised of two main ingredients – (a) inferring frequency response data from time-domain data, and (b) constructing an underlying port-Hamiltonian realization using the inferred frequency response data. The proposed method is illustrated by means of two numerical examples.
Citation
- Journal: ETNA - Electronic Transactions on Numerical Analysis
- Year: 2022
- Volume: 56
- Issue:
- Pages: 102–116
- Publisher: Osterreichische Akademie der Wissenschaften, Verlag
- DOI: 10.1553/etna_vol56s102
BibTeX
@article{Cherifi_2022,
title={{A non-intrusive method to inferring linear port-Hamiltonian realizations using time-domain data}},
volume={56},
ISSN={1068-9613},
DOI={10.1553/etna_vol56s102},
journal={ETNA - Electronic Transactions on Numerical Analysis},
publisher={Osterreichische Akademie der Wissenschaften, Verlag},
author={Cherifi, Karim and Goyal, Pawan and Benner, Peter},
year={2022},
pages={102--116}
}