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   2.	David Arengas, Andreas Kroll: A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental Variables, Proceedings of the 2019 European Control Conference (ECC), 357--362, 10.23919/ECC.2019.8796086, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=87960862019, 2019

   3.	David Arengas, Andreas Kroll: Removal of Insufficiently Informative Data to Support System Identification in MISO Processes, Proceedings of the 17th {European Control Conference} ({ECC}), 2842--2847, 2018

   4.	David Arengas, Andreas Kroll: 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, Proceedings of the 21st International Conference on System Theory Control and Computing ICSTCC 2017, 100 -- 105, https://ieeexplore.ieee.org/document/8107018/, 2017

   5.	David Arengas, Andreas Kroll: Searching for {I}nformative {I}ntervals in {P}redominantly {S}tationary {D}ata {R}ecords to {S}upport {S}ystem {I}dentification, Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT 2017, 132 -- 137, https://ieeexplore.ieee.org/document/8171617/, 2017