Continuous-Time Subspace Model Identification Method Using Laguerre Filtering

B. R. J. Haverkamp; Michel Verhaegen; C. T. Chou; Rolf Johansson

doi:10.1016/S1474-6670(17)42986-7

Continuous-Time Subspace Model Identification Method Using Laguerre Filtering

B. R. J. Haverkamp, Michel Verhaegen, C. T. Chou, Rolf Johansson

Department of Automatic Control

Delft University of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

This paper introduces a time domain subspace model identification method, for the identification of continuous-time MIMO state-space models. The measured signals are assumed to be contaminated with both process and measurement noise. The method uses a bilinear transformation on the data, to identify the system in an alternative domain. Afterwards the system is transformed back. An example of the method is presented.

Original language	English
Pages (from-to)	1093-1098
Number of pages	6
Journal	IFAC Proceedings Volumes
Volume	30
Issue number	11
DOIs	https://doi.org/10.1016/S1474-6670(17)42986-7
Publication status	Published - 1997

Subject classification (UKÄ)

Control Engineering

Free keywords

Subspace methods
System identification
Continuous-time systems

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10.1016/S1474-6670(17)42986-7

Cite this

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title = "Continuous-Time Subspace Model Identification Method Using Laguerre Filtering",

abstract = "This paper introduces a time domain subspace model identification method, for the identification of continuous-time MIMO state-space models. The measured signals are assumed to be contaminated with both process and measurement noise. The method uses a bilinear transformation on the data, to identify the system in an alternative domain. Afterwards the system is transformed back. An example of the method is presented.",

keywords = "Subspace methods, System identification, Continuous-time systems",

author = "Haverkamp, {B. R. J.} and Michel Verhaegen and Chou, {C. T.} and Rolf Johansson",

year = "1997",

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AU - Haverkamp, B. R. J.

AU - Verhaegen, Michel

AU - Chou, C. T.

AU - Johansson, Rolf

PY - 1997

Y1 - 1997

N2 - This paper introduces a time domain subspace model identification method, for the identification of continuous-time MIMO state-space models. The measured signals are assumed to be contaminated with both process and measurement noise. The method uses a bilinear transformation on the data, to identify the system in an alternative domain. Afterwards the system is transformed back. An example of the method is presented.

AB - This paper introduces a time domain subspace model identification method, for the identification of continuous-time MIMO state-space models. The measured signals are assumed to be contaminated with both process and measurement noise. The method uses a bilinear transformation on the data, to identify the system in an alternative domain. Afterwards the system is transformed back. An example of the method is presented.

KW - Subspace methods

KW - System identification

KW - Continuous-time systems

U2 - 10.1016/S1474-6670(17)42986-7

DO - 10.1016/S1474-6670(17)42986-7

M3 - Article

VL - 30

SP - 1093

EP - 1098

JO - IFAC Proceedings Volumes

JF - IFAC Proceedings Volumes

IS - 11

ER -

Continuous-Time Subspace Model Identification Method Using Laguerre Filtering

Abstract

Subject classification (UKÄ)

Free keywords

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