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On stochastic balancing related model reduction

Varga, Andras (2000) On stochastic balancing related model reduction. In: CD-ROM. IEEE Conference on Decision and Control, CDC 2000, 2000-12-12 - 2000-12-15, Sydney (Australia).

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Abstract

We propose a general method based on the balanced stochastic truncation (BST) approach for the model reduction of stable linear systems. The new method relies on a recent general inner-outer factorization result and extends the applicability of the BST method to systems with infinite zeros. A computational algorithm with enhanced accuracy for the new BST model reduction approach is presented. The capabilities and advantages of the new approach are illustrated on an example.

Item URL in elib:https://elib.dlr.de/11633/
Document Type:Conference or Workshop Item (Paper)
Additional Information:LIDO-Berichtsjahr=2000,
Title:On stochastic balancing related model reduction
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Varga, AndrasUNSPECIFIEDUNSPECIFIED
Date:September 2000
Journal or Publication Title:CD-ROM
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:model reduction, relative error methods, numerical methods
Event Title:IEEE Conference on Decision and Control, CDC 2000
Event Location:Sydney (Australia)
Event Type:international Conference
Event Dates:2000-12-12 - 2000-12-15
Organizer:CDC
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012)
Deposited By: DLR-Beauftragter, elib
Deposited On:15 Mar 2006
Last Modified:31 Jul 2019 19:15

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