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Title:

A New Riemannian Framework for Efficient H-2-Optimal Model Reduction of Port-Hamiltonian Systems

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Moser, T.; Lohmann, B.
Pages contribution:
pp 5043-5049
Chapter contribution:
Article number 9304134
Abstract:
We present a new framework for ℋ 2 -optimal model reduction of linear port-Hamiltonian systems. The approach retains structural properties of the original system, such as passivity, and is based on the efficient pole-residue formulation of the ℋ 2 -error norm. This makes Riemannian optimization computationally feasible for large-scale dynamical systems as well, which is supported by a numerical example.
Keywords:
Dynamical systems; Large scale systems, Hamiltonians
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
IEEE Conference on Decision and Control (CDC)[59th, 2020]
Volume:
Vol. 2020-December
Organization:
IEEE
Date of congress:
14-18 Dec. 2020
Publisher:
IEEE
Date of publication:
14.12.2020
Year:
2020
Quarter:
4. Quartal
Year / month:
2020-12
Month:
Dec
Covered by:
Scopus; Web of Science
Print-ISBN:
978-1-7281-7448-8
E-ISBN:
978-1-7281-7447-1
Bookseries ISSN:
2576-2370
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1109/CDC42340.2020.9304134
WWW:
https://ieeexplore.ieee.org/document/9304134
TUM Institution:
Lehrstuhl für Regelungstechnik
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