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  Balanced truncation for linear switched systems

Gosea, I. V., Petreczky, M., Antoulas, A. C., & Fiter, C. (2018). Balanced truncation for linear switched systems. Advances in Computational Mathematics, 44(6), 1845-1886. doi:10.1007/s10444-018-9610-z.

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© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0

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 Urheber:
Gosea, Ion Victor1, Autor           
Petreczky, Mihaly, Autor
Antoulas, Athanasios C.1, Autor           
Fiter, Christophe, Autor
Affiliations:
1Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691              

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Schlagwörter: Mathematics, Numerical Analysis, math.NA,cs.SY,
 Zusammenfassung: We propose a model order reduction approach for balanced truncation of linear
switched systems. Such systems switch among a finite number of linear
subsystems or modes.
We compute pairs of controllability and observability Gramians corresponding
to each active discrete mode by solving systems of coupled Lyapunov equations.
Depending on the type, each such Gramian corresponds to the energy associated
to all possible switching scenarios that start or, respectively end, in a
particular operational mode.
In order to guarantee that hard to control and hard to observe states are
simultaneously eliminated, we construct a transformed system, whose Gramians
are equal and diagonal. Then, by truncation, directly construct reduced order
models. One can show that these models preserve some properties of the original
model, such as stability and that it is possible to obtain error bounds
relating the observed output, the control input and the entries of the diagonal
Gramians.

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 Datum: 2018
 Publikationsstatus: Erschienen
 Seiten: 35 pages, 5 figure, submitted to a special issue journal
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1007/s10444-018-9610-z
URI: http://arxiv.org/abs/1712.02158
arXiv: 1712.02158
Anderer: pubdata_escidoc:2525657
 Art des Abschluß: -

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Titel: Advances in Computational Mathematics
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 44 (6) Artikelnummer: - Start- / Endseite: 1845 - 1886 Identifikator: ISSN: 1019-7168