Snapshot-driven Rational Interpolation of Parametric Systems

Fuente: arXiv
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Hauptverfasser: Pelling, Art J. R., Cherifi, Karim, Gosea, Ion Victor, Sarradj, Ennes
Format: Preprint
Veröffentlicht: 2024
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author Pelling, Art J. R.
Cherifi, Karim
Gosea, Ion Victor
Sarradj, Ennes
author_facet Pelling, Art J. R.
Cherifi, Karim
Gosea, Ion Victor
Sarradj, Ennes
contents Parametric data-driven modeling is relevant for many applications in which the model depends on parameters that can potentially vary in both space and time. In this paper, we present a method to obtain a global parametric model based on snapshots of the parameter space. The parameter snapshots are interpolated using the classical univariate Loewner framework and the global bivariate transfer function is extracted using a linear fractional transformation (LFT). Rank bounds for the minimal order of the global realization are also derived. The results are supported by various numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2406_01236
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Snapshot-driven Rational Interpolation of Parametric Systems
Pelling, Art J. R.
Cherifi, Karim
Gosea, Ion Victor
Sarradj, Ennes
Dynamical Systems
35B30, 37M99, 41A20, 74H15, 93C05
Parametric data-driven modeling is relevant for many applications in which the model depends on parameters that can potentially vary in both space and time. In this paper, we present a method to obtain a global parametric model based on snapshots of the parameter space. The parameter snapshots are interpolated using the classical univariate Loewner framework and the global bivariate transfer function is extracted using a linear fractional transformation (LFT). Rank bounds for the minimal order of the global realization are also derived. The results are supported by various numerical examples.
title Snapshot-driven Rational Interpolation of Parametric Systems
topic Dynamical Systems
35B30, 37M99, 41A20, 74H15, 93C05
url https://arxiv.org/abs/2406.01236