Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

نویسندگان

چکیده

We propose a model order reduction approach for non-intrusive surrogate modeling of parametric dynamical systems. The reduced over the whole parameter space is built by combining surrogates in frequency only, at few selected values parameters. This, particular, requires matching respective poles solving an optimization problem. If are constructed suitable rational interpolation strategy, and parameters can both be sampled adaptive fashion. general, yields with different numbers poles, situation addressed our proposed algorithm. Moreover, we explain how method applied even high-dimensional settings, employing locally-refined sparse grids to weaken curse dimensionality. Numerical examples used showcase effectiveness method, highlight some its limitations dealing unbalanced pole matching, as well large number

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ژورنال

عنوان ژورنال: Mathematical Modelling and Numerical Analysis

سال: 2021

ISSN: ['0764-583X', '1290-3841']

DOI: https://doi.org/10.1051/m2an/2021040