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SUBSPACE IDENTIFICATION USING THE PARITY SPACE

  • Jin Wang
  • , S. Joe Qin

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

It is known that most subspace identification algorithms give biased estimates for closed-loop data due to a projection performed in the algorithms. In this work, consistency analysis of SIMPCA is given and the exact input requirement is formulated. The effect of column weighting in subspace identification algorithms is discussed and the column weighting for SIMPCA is designed which gives consistent estimates of state-space models from both open loop and closed-loop data. A simulation example is given to demonstrate the performance of the proposed algorithm.

Original languageEnglish
Title of host publicationDynamics and Control of Process Systems 2004 (DYCOPS -7)
Subtitle of host publicationA Proceedings volume from the 7th IFAC Symposium
EditorsSirish L. Shah, John MacGregor
PublisherElsevier Ltd.
Pages287-292
Volume1
ISBN (Print)0080442978
DOIs
Publication statusPublished - Jul 2004
Externally publishedYes
Event7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004 - Cambridge, United States
Duration: 5 Jul 2004 → 7 Jul 2004

Publication series

NameIFAC Proceedings Volumes
Number9
Volume37
ISSN (Print)1474-6670

Conference

Conference7th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS 2004
PlaceUnited States
CityCambridge
Period5/07/04 → 7/07/04

Funding

1 Supported by NSF under CTS-9985074 and an Overseas Young Investigator Award (60228001) from NSF China

Research Keywords

  • Closed-loop identification
  • Consistency analysis
  • Instrumental variables
  • Parity space
  • Principal component analysis
  • Subspace identification

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