Subspace Algorithms for the Identification of Multivariable Dynamic Errors-in-Variables Models**This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor H. Hjalmarsson under the direction of Editor Torsten Söderström.-Reference-Cited by-同舟云学术

Subspace Algorithms for the Identification of Multivariable Dynamic Errors-in-Variables Models**This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor H. Hjalmarsson under the direction of Editor Torsten Söderström.

Published:1997-10 Issue:10 Volume:33 Page:1857-1869
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

CHOU C.T.,VERHAEGEN MICHEL

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference27 articles.

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3. System identification from noisy measurements by using instrumental variables and subspace fitting;Cedervall;Circuits Systems Signal Process,1996

4. Chou, C.T. and M. Verhaegen (1996). Subspace algorithms for the identification of multivariable dynamic errors-in-variables models. Technical Report TUD/ET/SCE96.002, Electrical Engineering Dept., Delft University of Technology.

5. Deistler, M. (1989). Linear system identification — a survey. In From Data to Model, ed. J. Willems, pp. 1–25. Springer, Berlin.

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