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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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