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Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop. / Padilla, A.; Garnier, H.; Young, P.C. et al.

In: IFAC-PapersOnLine, Vol. 50, No. 1, 07.2017, p. 4008-4013.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Padilla, A, Garnier, H, Young, PC & Yuz, J 2017, 'Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop', IFAC-PapersOnLine, vol. 50, no. 1, pp. 4008-4013. https://doi.org/10.1016/j.ifacol.2017.08.715

APA

Padilla, A., Garnier, H., Young, P. C., & Yuz, J. (2017). Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop. IFAC-PapersOnLine, 50(1), 4008-4013. https://doi.org/10.1016/j.ifacol.2017.08.715

Vancouver

Padilla A, Garnier H, Young PC, Yuz J. Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop. IFAC-PapersOnLine. 2017 Jul;50(1):4008-4013. doi: 10.1016/j.ifacol.2017.08.715

Author

Padilla, A. ; Garnier, H. ; Young, P.C. et al. / Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop. In: IFAC-PapersOnLine. 2017 ; Vol. 50, No. 1. pp. 4008-4013.

Bibtex

@article{ffc6c7f8bc95422eaa8a722cdf6bd5fa,
title = "Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop",
abstract = "Model estimation of industrial processes is often done in closed loop due, for instance, to production constraints or safety reasons. On the other hand, many processes are time-varying because of aging effects or changes in the environmental conditions. In this study, a recursive estimation algorithm for linear, continuous-time, slowly time-varying systems operating in closed loop, is developed. The proposed method consists in coupling linear filter approaches to handle the time-derivative, with closed-loop instrumental variable (IV) techniques to deal with measurement noise. Simulations show the advantages of using this IV-based method.",
keywords = "recursive estimation, instrumental variable method, continuous-time models, closed loop identification",
author = "A. Padilla and H. Garnier and P.C. Young and J. Yuz",
year = "2017",
month = jul,
doi = "10.1016/j.ifacol.2017.08.715",
language = "English",
volume = "50",
pages = "4008--4013",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "1",

}

RIS

TY - JOUR

T1 - Recursive online IV method for identification of continuous-time slowly time-varying models in closed loop

AU - Padilla, A.

AU - Garnier, H.

AU - Young, P.C.

AU - Yuz, J.

PY - 2017/7

Y1 - 2017/7

N2 - Model estimation of industrial processes is often done in closed loop due, for instance, to production constraints or safety reasons. On the other hand, many processes are time-varying because of aging effects or changes in the environmental conditions. In this study, a recursive estimation algorithm for linear, continuous-time, slowly time-varying systems operating in closed loop, is developed. The proposed method consists in coupling linear filter approaches to handle the time-derivative, with closed-loop instrumental variable (IV) techniques to deal with measurement noise. Simulations show the advantages of using this IV-based method.

AB - Model estimation of industrial processes is often done in closed loop due, for instance, to production constraints or safety reasons. On the other hand, many processes are time-varying because of aging effects or changes in the environmental conditions. In this study, a recursive estimation algorithm for linear, continuous-time, slowly time-varying systems operating in closed loop, is developed. The proposed method consists in coupling linear filter approaches to handle the time-derivative, with closed-loop instrumental variable (IV) techniques to deal with measurement noise. Simulations show the advantages of using this IV-based method.

KW - recursive estimation

KW - instrumental variable method

KW - continuous-time models

KW - closed loop identification

U2 - 10.1016/j.ifacol.2017.08.715

DO - 10.1016/j.ifacol.2017.08.715

M3 - Journal article

VL - 50

SP - 4008

EP - 4013

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 1

ER -