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The transient impulse response modeling method for non-parametric system identification

Published:2016-06 Issue: Volume:68 Page:314-328
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Hägg Per,Schoukens Johan,Gevers Michel,Hjalmarsson Håkan

Funder

European Research Council

Swedish Research Council

Linnaeus Center ACCESS at KTH

Belgian Science Policy Office

Flemish Government (Methusalem)

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference17 articles.

1. Time series: Data analysis, forecasting and control;Brillinger,1981

2. Gevers, Michel, Hägg, Per, Hjalmarsson, Håkan, Pintelon, Rik, & Schoukens, Johan (2012). The transient impulse response modeling method and the local polynomial method for nonparametric system identification system identification. In 16th IFAC symposium on system identification, Vol. 16 (pp. 55–60).

3. Gevers, M., Pintelon, R., & Schoukens, Johan (2011). The local polynomial method for nonparametric system identification: Improvements and experimentation. In 2011 50th IEEE conference on decision and control and European control conference, CDC-ECC, December (pp. 4302–4307).

4. Hägg, Per, & Hjalmarsson, Håkan (2012). Non-parametric frequency function estimation using transient impulse response modelling. In 16th IFAC symposium on system identification (pp. 43–48).

5. Hägg, P., Hjalmarsson, H., & Wahlberg, B. (2011). A least squares approach to direct frequency response estimation. In 2011 50th IEEE conference on decision and control and European control conference, CDC-ECC, December (pp. 2160–2165).

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