Parallel Qr Implementation of Subspace Identification with Parsimonious Models

S. Joe QIN, Lennart LJUNG

Research output: Journal PublicationsJournal Article (refereed)peer-review

8 Citations (Scopus)


In this paper we reveal that the typical subspace identification algorithms use nonparsimonious 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 algorithrn and demonstrate the effectiveness of the proposed algorithrn via simulation.
Original languageEnglish
Pages (from-to)1591-1596
Number of pages6
JournalIFAC Proceedings Volumes
Issue number16
Publication statusPublished - Sept 2003
Externally publishedYes
Event13th IFAC Symposium on System Identification (SYSID 2003) - , Netherlands
Duration: 27 Aug 200329 Aug 2003

Bibliographical note

Acknowledgments: Financial support from National Science Foundation under CTS-9985074 and a Faculty Research Assignment grant from University of Texas is gratefully acknowledged.


  • parallel projections
  • parsimonious formulation
  • subspace identification


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