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Parallel QR Implementation of Subspace Identification with Parsimonious Models
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
University of Texas at Austin, TX, USA.
2003 (English)In: Proceedings of the 13th IFAC Symposium on System Identification, 2003, 1631-1636 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we reveal that the typical subspace identification algorithms use non-parsimonious model formulations, with extra terms in the model that appear to be non-causal. These terms are the causes for inflated variance in the estimates and partially responsible for the loss of closed-loop identifiability. We then propose a parallel parsimonious formulation of a new subspace identification algorithm and demonstrate the effectiveness of the proposed algorithm via simulation. 

Place, publisher, year, edition, pages
2003. 1631-1636 p.
Keyword [en]
Subspace identification, Parsimonious formulation, Parallel projections
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-90860ISBN: 9780080437095 (print)OAI: oai:DiVA.org:liu-90860DiVA: diva2:615058
Conference
13th IFAC Symposium on System Identification, Rotterdam, The Netherlands, August, 2003
Available from: 2013-04-08 Created: 2013-04-07 Last updated: 2013-04-08

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Ljung, Lennart

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  • apa
  • harvard1
  • ieee
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Output format
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