On the balanced truncation error bound and sign parameters from arrowhead realizations

Fuente: arXiv
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Auteurs principaux: Reiter, Sean, Damm, Tobias, Embree, Mark, Gugercin, Serkan
Format: Preprint
Publié: 2020
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author Reiter, Sean
Damm, Tobias
Embree, Mark
Gugercin, Serkan
author_facet Reiter, Sean
Damm, Tobias
Embree, Mark
Gugercin, Serkan
contents Balanced truncation and singular perturbation approximation for linear dynamical systems yield reduced-order models that satisfy a well-known error bound involving the Hankel singular values. We show that this bound holds with equality for single-input, single-output systems, if the sign parameters corresponding to the truncated Hankel singular values are all equal. These signs are determined by a generalized state-space symmetry property of the corresponding linear model. For a special class of systems having arrowhead realizations, the signs can be determined directly from the off-diagonal entries of the corresponding arrowhead matrix. We describe how such arrowhead systems arise naturally in certain applications of network modeling, and illustrate these results with a power system model that motivated this study.
format Preprint
id arxiv_https___arxiv_org_abs_2011_07170
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle On the balanced truncation error bound and sign parameters from arrowhead realizations
Reiter, Sean
Damm, Tobias
Embree, Mark
Gugercin, Serkan
Systems and Control
Dynamical Systems
Optimization and Control
93B10, 93B11, 93C05
Balanced truncation and singular perturbation approximation for linear dynamical systems yield reduced-order models that satisfy a well-known error bound involving the Hankel singular values. We show that this bound holds with equality for single-input, single-output systems, if the sign parameters corresponding to the truncated Hankel singular values are all equal. These signs are determined by a generalized state-space symmetry property of the corresponding linear model. For a special class of systems having arrowhead realizations, the signs can be determined directly from the off-diagonal entries of the corresponding arrowhead matrix. We describe how such arrowhead systems arise naturally in certain applications of network modeling, and illustrate these results with a power system model that motivated this study.
title On the balanced truncation error bound and sign parameters from arrowhead realizations
topic Systems and Control
Dynamical Systems
Optimization and Control
93B10, 93B11, 93C05
url https://arxiv.org/abs/2011.07170