Article
Licensed
Unlicensed Requires Authentication

Model Order Reduction by Approximate Balanced Truncation: A Unifying Framework / Modellreduktion durch approximatives Balanciertes Abschneiden: eine vereinigende Formulierung

  • Dipl.-Ing. Thomas Wolf is a research assistant at the Institute of Automatic Control of the Faculty of Mechanical Engineering at the Technische Universität München. His field of research includes model order reduction of large-scale systems and port-Hamiltonian model representation.

    EMAIL logo
    ,

    Dipl.-Ing. Heiko K. F. Panzer is a research assistant at the Institute of Automatic Control of the Faculty of Mechanical Engineering at the Technische Universität München. His research interest includes model reduction of large-scale systems by Krylov subspace methods and parametric model order reduction by matrix interpolation.

    and

    Prof. Dr.-Ing. habil. Boris Lohmann is Head of the Institute of Automatic Control of the Faculty of Mechanical Engineering at the Technische Universität München. His research activities include model order reduction, nonlinear, robust and optimal control as well as active vibration control.

Published/Copyright: September 5, 2013

Summary

A novel formulation of approximate truncated balanced realization (TBR) is introduced to unify three approaches: two iterative methods for solving the underlying Lyapunov equations - the alternating directions implicit (ADI) iteration and the rational Krylov subspace method (RKSM) - and a two-step procedure that performs a Krylov-based projection and subsequently direct TBR. The framework allows to compare the three methods with respect to solvability, fidelity, numerical effort, stability preservation and global error bounds, which suggests to merge ADI with the two-step procedure

Zusammenfassung

Eine neue Formulierung des approximativen Balancierten Abschneidens vereinheitlicht drei Varianten: zwei iterative Lösungsverfahren der zugrundeliegenden Ljapunow-Gleichungen - Alternating Directions Implicit (ADI) Iteration und Rational Krylov Subspace Method (RKSM) - und ein Zwei-Schritt-Verfahren (ZSV), welches nacheinander eine Krylow-Projektion und Balanciertes Abschneiden durchführt. Die einheitliche Beschreibung ermöglicht den Vergleich hinsichtlich Lösbarkeit, Approximationsgüte, numerischem Aufwand, Stabilitätserhaltung und globaler Fehlerschranken, was eine Fusion von ADI und ZSV empfiehlt

Über die Autoren

Dipl.-Ing. Thomas Wolf

Dipl.-Ing. Thomas Wolf is a research assistant at the Institute of Automatic Control of the Faculty of Mechanical Engineering at the Technische Universität München. His field of research includes model order reduction of large-scale systems and port-Hamiltonian model representation.

Dipl.-Ing. Heiko K. F. Panzer

Dipl.-Ing. Heiko K. F. Panzer is a research assistant at the Institute of Automatic Control of the Faculty of Mechanical Engineering at the Technische Universität München. His research interest includes model reduction of large-scale systems by Krylov subspace methods and parametric model order reduction by matrix interpolation.

Prof. Dr.-Ing. habil. Boris Lohmann

Prof. Dr.-Ing. habil. Boris Lohmann is Head of the Institute of Automatic Control of the Faculty of Mechanical Engineering at the Technische Universität München. His research activities include model order reduction, nonlinear, robust and optimal control as well as active vibration control.

Online erschienen: 2013-09-05
Erschienen im Druck: 2013-08

© 2013 Oldenbourg Wissenschaftsverlag GmbH, Rosenheimer Str. 145, 81671 München

Downloaded on 8.4.2026 from https://www.degruyterbrill.com/document/doi/10.1524/auto.2013.1007/html
Scroll to top button