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SchV21
Journal article

Adaptive sampling for structure-preserving model order reduction of port-Hamiltonian systems

  • 2021
Published in:
  • IFAC-PapersOnline. - 2021, vol. 54, no. 19, p. 143-148
model reduction
H-infinity optimization
structured systems
port-Hamiltonian systems
structure-preserving methods
open access
English We present an adaptive sampling strategy for the optimization-based structure-preserving model order reduction (MOR) algorithm developed in [Schwerdtner, P. and Voigt, M. (2020). Structure-preserving model order reduction by parameter optimization, Preprint arXiv:2011.07567]. This strategy reduces the computational demand and the required a priori knowledge about the given full-order model, while at the same time retaining a high accuracy compared to other structure-preserving but also unstructured MOR algorithms. A numerical study with a port-Hamiltonian benchmark system demonstrates the effectiveness of our method when combined with this new adaptive sampling strategy. We also investigate the distribution of the sample points.
Research projects
Language
  • English
Classification
Applied sciences
License
CC BY-NC-ND
Identifiers
Persistent URL
https://n2t.net/ark:/51647/srd1320163
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