Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor

Alex J. Pasadyn; S. Joe Qin; S. Valle-Cervantes

doi:10.1109/acc.1999.786261

Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor

Alex J. Pasadyn, S. Joe Qin, S. Valle-Cervantes

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

3 Citations (Scopus)

Abstract

In this paper we benchmark eight different system identification algorithms on an industrial wastewater reactor under both closed loop and open loop conditions. The algorithms studied in the paper include subspace identification, partial least squares (PLS), ordinary least squares (OLS), and output error approach. The studied model structures include ARX, ARMAX, and FIR models. The minimum description length (MDL) principle and Akaike information criterion (AIC) are used to select the order of these models. Comparison of the eight different algorithms are given based on open loop experimental data and closed loop operational data from a real industrial wastewater reactor.

Original language	English
Title of host publication	Proceedings of the 1999 American Control Conference
Publisher	IEEE
Pages	3965-3969
Volume	6
ISBN (Electronic)	0780349938
ISBN (Print)	0780349903, 0780349911
DOIs	https://doi.org/10.1109/acc.1999.786261
Publication status	Published - Jun 1999
Externally published	Yes
Event	1999 American Control Conference (99ACC) - San Diego, CA., United States Duration: 2 Jun 1999 → 4 Jun 1999

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	1999 American Control Conference (99ACC)
Place	United States
City	San Diego, CA.
Period	2/06/99 → 4/06/99

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

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10.1109/acc.1999.786261

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title = "Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor",

abstract = "In this paper we benchmark eight different system identification algorithms on an industrial wastewater reactor under both closed loop and open loop conditions. The algorithms studied in the paper include subspace identification, partial least squares (PLS), ordinary least squares (OLS), and output error approach. The studied model structures include ARX, ARMAX, and FIR models. The minimum description length (MDL) principle and Akaike information criterion (AIC) are used to select the order of these models. Comparison of the eight different algorithms are given based on open loop experimental data and closed loop operational data from a real industrial wastewater reactor.",

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year = "1999",

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Pasadyn, AJ, Qin, SJ & Valle-Cervantes, S 1999, Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor. in Proceedings of the 1999 American Control Conference. vol. 6, Proceedings of the American Control Conference, IEEE, pp. 3965-3969, 1999 American Control Conference (99ACC), San Diego, CA., United States, 2/06/99. https://doi.org/10.1109/acc.1999.786261

Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor. / Pasadyn, Alex J.; Qin, S. Joe; Valle-Cervantes, S.
Proceedings of the 1999 American Control Conference. Vol. 6 IEEE, 1999. p. 3965-3969 (Proceedings of the American Control Conference).

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

TY - GEN

T1 - Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor

AU - Pasadyn, Alex J.

AU - Qin, S. Joe

AU - Valle-Cervantes, S.

PY - 1999/6

Y1 - 1999/6

N2 - In this paper we benchmark eight different system identification algorithms on an industrial wastewater reactor under both closed loop and open loop conditions. The algorithms studied in the paper include subspace identification, partial least squares (PLS), ordinary least squares (OLS), and output error approach. The studied model structures include ARX, ARMAX, and FIR models. The minimum description length (MDL) principle and Akaike information criterion (AIC) are used to select the order of these models. Comparison of the eight different algorithms are given based on open loop experimental data and closed loop operational data from a real industrial wastewater reactor.

AB - In this paper we benchmark eight different system identification algorithms on an industrial wastewater reactor under both closed loop and open loop conditions. The algorithms studied in the paper include subspace identification, partial least squares (PLS), ordinary least squares (OLS), and output error approach. The studied model structures include ARX, ARMAX, and FIR models. The minimum description length (MDL) principle and Akaike information criterion (AIC) are used to select the order of these models. Comparison of the eight different algorithms are given based on open loop experimental data and closed loop operational data from a real industrial wastewater reactor.

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DO - 10.1109/acc.1999.786261

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0780349903

SN - 0780349911

VL - 6

T3 - Proceedings of the American Control Conference

SP - 3965

EP - 3969

BT - Proceedings of the 1999 American Control Conference

PB - IEEE

T2 - 1999 American Control Conference (99ACC)

Y2 - 2 June 1999 through 4 June 1999

ER -

Closed-loop and Open-loop Identification of an Industrial Wastewater Reactor

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