Structure-preserving model reduction of complex physical systems

A.J. Schaft, van der; R.V. Polyuga

doi:10.1109/CDC.2009.5399669

Structure-preserving model reduction of complex physical systems

A.J. Schaft, van der, R.V. Polyuga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

15 Citations (Scopus)

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Abstract

Port-based network modeling of complex physical systems naturally leads to port-Hamiltonian system models. This motivates the search for structure-preserving model reduction methods, which allow one to replace high-dimensional port-Hamiltonian system components by reduced-order ones. In this paper we treat a family of structure-preserving reduction methods for port-Hamiltonian systems, and discuss their relation with projection-based reduction methods for DAEs.

Original language	English
Title of host publication	Proceedings of the 48th IEEE Conference on Decision and Control (CDC 2009, Shanghai, China, December 15-18, 2009)
Publisher	Institute of Electrical and Electronics Engineers
Pages	4322-4327
ISBN (Print)	978-1-4244-3871-6
DOIs	https://doi.org/10.1109/CDC.2009.5399669
Publication status	Published - 2009

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10.1109/CDC.2009.5399669

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title = "Structure-preserving model reduction of complex physical systems",

abstract = "Port-based network modeling of complex physical systems naturally leads to port-Hamiltonian system models. This motivates the search for structure-preserving model reduction methods, which allow one to replace high-dimensional port-Hamiltonian system components by reduced-order ones. In this paper we treat a family of structure-preserving reduction methods for port-Hamiltonian systems, and discuss their relation with projection-based reduction methods for DAEs.",

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Structure-preserving model reduction of complex physical systems. / Schaft, van der, A.J.; Polyuga, R.V.
Proceedings of the 48th IEEE Conference on Decision and Control (CDC 2009, Shanghai, China, December 15-18, 2009). Institute of Electrical and Electronics Engineers, 2009. p. 4322-4327.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Port-based network modeling of complex physical systems naturally leads to port-Hamiltonian system models. This motivates the search for structure-preserving model reduction methods, which allow one to replace high-dimensional port-Hamiltonian system components by reduced-order ones. In this paper we treat a family of structure-preserving reduction methods for port-Hamiltonian systems, and discuss their relation with projection-based reduction methods for DAEs.

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BT - Proceedings of the 48th IEEE Conference on Decision and Control (CDC 2009, Shanghai, China, December 15-18, 2009)

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ER -

Structure-preserving model reduction of complex physical systems

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