@article{Arengas_at2020,
 author = {David Arengas and Andreas Kroll},
 doi = {10.1515/auto-2019-0055},
 journal = {at -- Automatisierungstechnik},
 mrtnote = {peer,DS4SID,Search4UI},
 number = {5},
 owner = {arengas},
 pages = {347--359},
 timestamp = {2017.12.13},
 title = {Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants},
 url = {https://www.degruyter.com/view/journals/auto/68/5/article-p347.xml},
 volume = {68},
 year = {2020}
}

@inproceedings{ArengasECC2019,
 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.},
 address = {Naples, Italy},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 2019 European Control Conference
(ECC)},
 doi = {10.23919/ECC.2019.8796086},
 keywords = {Time-series analysis, multivariable system identification, instrumental variables, instrumental product moment matrix, information matrix, change detection},
 language = {english},
 month = {25.-28. Juni},
 mrtnote = {peer,Search4UI},
 organization = {IFAC},
 owner = {arengas},
 pages = {357--362},
 timestamp = {2018.11.14},
 title = {A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental
Variables},
 url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=87960862019},
 year = {2019}
}

@inproceedings{Arengas2018ECC,
 address = {Limassol, Cyprus},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 17th {European Control
Conference} ({ECC})},
 language = {english},
 month = {June 12 -- 15},
 mrtnote = {FuzzyIdControl,peer,Search4UI},
 organization = {European Control Association (EUCA)},
 owner = {duerrbaum},
 pages = {2842--2847},
 timestamp = {2015.02.20},
 title = {Removal of Insufficiently Informative Data to Support System Identification in MISO
Processes},
 year = {2018}
}

@inproceedings{Arengas2017b,
 address = {Sinaia, Romania},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 21st International Conference on System Theory
Control and Computing ICSTCC
2017},
 month = {October 19-21},
 mrtnote = {peer,FEE,Search4UI},
 owner = {duerrbaum},
 pages = {100 -- 105},
 timestamp = {2016.11.02},
 title = {A {S}earch {M}ethod for {S}electing {I}nformative {D}ata in {P}redominantly {S}tationary {H}istorical {R}ecords for {M}ultivariable
{S}ystems},
 url = {https://ieeexplore.ieee.org/document/8107018/},
 year = {2017}
}

@inproceedings{Arengas2017,
 address = {Sarajevo, Bosnia \& Herzegovina},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT
2017},
 month = {October 26-28},
 mrtnote = {peer,FEE,Search4UI},
 owner = {duerrbaum},
 pages = {132 -- 137},
 timestamp = {2016.11.02},
 title = {Searching for {I}nformative {I}ntervals in {P}redominantly {S}tationary {D}ata {R}ecords to {S}upport {S}ystem
{I}dentification},
 url = {https://ieeexplore.ieee.org/document/8171617/},
 year = {2017}
}