| Author | Title | Year | Journal/Proceedings | DOI/URL | |
|---|---|---|---|---|---|
| Arengas, D. & Kroll, A. | Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants [BibTeX] |
2020 | at -- Automatisierungstechnik , Vol. 68 (5) , pp. 347-359 | DOI URL | |
BibTeX:
@article{Arengas_at2020,
author = {David Arengas and Andreas Kroll}
, title = {Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants}
, journal = {at -- Automatisierungstechnik}
, year = {2020}
, volume = {68}
, number = {5}
, pages = {347--359}
, url = {https://www.degruyter.com/view/journals/auto/68/5/article-p347.xml}
, doi = {http://dx.doi.org/10.1515/auto-2019-0055}
}
|
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| Arengas, D. & Kroll, A. | A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental Variables | 2019 | Proceedings of the 2019 European Control Conference (ECC) , pp. 357-362 , Naples, Italy , 25.-28. Juni , IFAC | DOI URL | |
| Abstract: Experiments to collect data for system identification in industrial plants are constrained due to production and safety requirements. In such situations, logged historical data can be used for system identification instead. However, these recorded data are predominantly stationary in continuously operated plants since processes are seldom excited during normal operation. Performing system identification with such data will yield numerical problems. Alternately, the "most" informative sequences can be extracted and used for system identification. Current data selection methods have several drawbacks. They are constrained to Single-Input Single-Output (SISO) modeling problems. The methods are not robust against correlated noise which is a disadvantage when using real data sets. Moreover, setting design parameters requires some information about the process that is not always available. In this contribution, an alternative data selection method for system identification is presented and evaluated in a case study. In contrast to current approaches, the proposed method does not require data normalization to detect transient changes. It can be used in Multi-Input Single-Output (MISO) systems operating in open or closed loop. An instrumental variables (IV) method is used in the algorithm which provides robustness against non-white noise. Results from a simulation case study of a multivariable system show that models with similar accuracy are obtained when using the intervals retrieved by the data selection method as when using the entire data set. | |||||
BibTeX:
@inproceedings{ArengasECC2019,
author = {David Arengas and Andreas Kroll}
, title = {A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental Variables}
, booktitle = {Proceedings of the 2019 European Control Conference (ECC)}
, year = {2019}
, pages = {357-362}
, address = {Naples, Italy}
, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=87960862019}
, doi = {http://dx.doi.org/10.23919/ECC.2019.8796086}
}
|
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| Arengas, D. & Kroll, A. | Removal of Insufficiently Informative Data to Support System Identification in MISO Processes [BibTeX] |
2018 | Proceedings of the 17th European Control Conference (ECC) , pp. 2842-2847 , Limassol, Cyprus , June 12 - 15 , European Control Association (EUCA) | ||
BibTeX:
@inproceedings{Arengas2018ECC,
author = {David Arengas and Andreas Kroll}
, title = {Removal of Insufficiently Informative Data to Support System Identification in MISO Processes}
, booktitle = {Proceedings of the 17th European Control Conference (ECC)}
, year = {2018}
, pages = {2842-2847}
, address = {Limassol, Cyprus}
}
|
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| Arengas, D. & Kroll, A. | Searching for Informative Intervals in Predominantly Stationary Data Records to Support System Identification [BibTeX] |
2017 | Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT 2017 , pp. 132 - 137 , Sarajevo, Bosnia \& Herzegovina , October 26-28 | URL | |
BibTeX:
@inproceedings{Arengas2017,
author = {David Arengas and Andreas Kroll}
, title = {Searching for Informative Intervals in Predominantly Stationary Data Records to Support System Identification}
, booktitle = {Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT 2017}
, year = {2017}
, pages = {132 -- 137}
, address = {Sarajevo, Bosnia & Herzegovina}
, url = {http://ieeexplore.ieee.org/document/8171617/}
}
|
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| Arengas, D. & Kroll, A. | A Search Method for Selecting Informative Data in Predominantly Stationary Historical Records for Multivariable Systems [BibTeX] |
2017 | Proceedings of the 21st International Conference on System Theory, Control and Computing ICSTCC 2017 , pp. 100 - 105 , Sinaia, Romania , October 19-21 | URL | |
BibTeX:
@inproceedings{Arengas2017b,
author = {David Arengas and Andreas Kroll}
, title = {A Search Method for Selecting Informative Data in Predominantly Stationary Historical Records for Multivariable Systems}
, booktitle = {Proceedings of the 21st International Conference on System Theory, Control and Computing ICSTCC 2017}
, year = {2017}
, pages = {100 -- 105}
, address = {Sinaia, Romania}
, url = {http://ieeexplore.ieee.org/document/8107018/}
}
|
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| Arengas Rojas, D. | On the Detection and Selection of Informative Subsequences from Large Historical Data Records for Linear System Identification [BibTeX] |
2021 | Schriftenreihe Mess- und Regelungstechnik der Universität Kassel (10) , kassel university press , Juni , Dissertation | PhD-12 | |
BibTeX:
@phdthesis{2021-Arengas-PhD-Selection_Informative_Sqeuences,
author = {Arengas Rojas, David}
, title = {On the Detection and Selection of Informative Subsequences from Large Historical Data Records for Linear System Identification}
, publisher = {kassel university press}
, school = {Schriftenreihe Mess- und Regelungstechnik der Universität Kassel}
, type = {Dissertation}
, year = {2021}
, number = {10}
, mrtnr = {PhD-12} }
|
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| Kroll, A., Dürrbaum, A., Arengas, D., Al Mawla, H., Kistner, L. & Rehmer, A. | µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für vernetzte heterogene Systeme | 2017 | atp edition , Vol. 59 (9) , pp. 40-53 , September | URL PDF | |
| Abstract: Modellfabriken werden mittlerweile häufig in Forschung und Lehre eingesetzt, aber über ihren Aufbau und ihre Funktionen ist wenig zu lesen. Im Beitrag wird eine Übersicht über in Deuschland vorhandene Modellfabriken gegeben. Zudem werden Details der selbst konzipierten und realisierten Modellfabrik µPlant vorgestellt. Diese besteht aus mehreren mit Transportrobotern verbundenen Produktionsinseln/-zellen, die jeweils lokal über angepasste Automatisierungssysteme verfügen. Alle Module sind stofflich und informationstechnisch integriert und die Modellfabrik kann voll automatisiert betrieben werden. Der Beitrag richtet sich an Personen mit Interesse an Aufbau, Beschaffung oder Nutzung von Modellfabriken | |||||
BibTeX:
@article{2017-Kroll_et_al-atp_edition-Modellfabrik_muPlant,
author = {Andreas Kroll AND Axel Dürrbaum AND David Arengas AND Hassan Al Mawla AND Lars Kistner AND Alexander Rehmer}
, title = {µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für vernetzte heterogene Systeme}
, journal = {atp edition}
, year = {2017}
, volume = {59}
, number = {9}
, pages = {40-53}
, url = {https://www.di-verlag.de/de/Zeitschriften/atp-edition/2017/09/Plant:-Modellfabrik-fuer-vernetzte-heterogene-Anlagen}
}
|
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| Kroll, A., Dürrbaum, A., Arengas, D., Jäschke, B., Al Mawla, H. & Geiger, A. | µPlant: Model factory for the automatization of networked, heterogeneous and flexibly changeable multi-product plants [BibTeX] |
2016 | Automation 2016 , Vol. VDI-Berichte 2284 , VDI , Baden-Baden , 7.-8. Juni , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) , online | URL | |
BibTeX:
@inproceedings{muPlant_AUTOMATION_2016,
author = {A. Kroll and A. Dürrbaum and D. Arengas and B. Jäschke and H. Al Mawla and A. Geiger}
, title = {µPlant: Model factory for the automatization of networked, heterogeneous and flexibly changeable multi-product plants}
, booktitle = {Automation 2016}
, publisher = {VDI}
, year = {2016}
, volume = {VDI-Berichte 2284}
, address = {Baden-Baden}
, url = {http://www.automatisierungskongress.de/}
, isbn = {978-3-18-092284-0}
, issn = {0083-5560}
}
|
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