Projecten per jaar
Persoonlijk profiel
Research profile
Stefanie is currently working at the Control Systems (CS) Group at the Department of Electrical Engineering. She works on the project System Identification in Dynamic Networks (SYSDYNET) as a PhD candidate under the supervision of Paul Van den Hof. Her focus is mainly on algorithms for data-driven modeling in dynamic networks.
Academic background
Stefanie Fonken received her Bachelor in Mechatronic Engineering in 2014 from Fontys University of Applied Sciences in Eindhoven. After her Bachelor she worked as a Machine Engineer at Bosch Transmission Technology for 3 years. In 2020, she received her MSc degree in Systems and Control (with distinction cum laude) at Eindhoven University of Technology (TU/e). Her MSc thesis, entitled “Multi-step scalable least squares method for network identification with unknown noise topology” was supervised by Paul Van den Hof.
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Projecten
- 1 Afgelopen
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ERC Grant PvdHof SYSDYNET
Van den Hof, P. M. J. (Project Manager), Haesaert, S. (Projectmedewerker), Kivits, E. M. M. (Projectmedewerker), Weiland, S. (Projectmedewerker), Lazar, M. (Projectmedewerker), Donkers, M. C. F. (Projectmedewerker), Tóth, R. (Projectmedewerker), Steentjes, T. R. V. (Projectmedewerker), Ramaswamy, K. (Projectmedewerker), Ludlage, J. H. A. (Projectmedewerker), Dreef, H. J. (Projectmedewerker), Cheng, X. (Projectmedewerker), Nawijn, H. (Project communicatie medewerker), van der Hagen, D. (Project communicatie medewerker), Fonken, S. J. M. (Projectmedewerker) & Shi, S. (Projectmedewerker)
1/09/16 → 31/08/22
Project: Onderzoek direct
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Consistent identification of dynamic networks subject to white noise using Weighted Null-Space Fitting
Fonken, S. J. M. (Corresponding author), Ferizbegovic, M. (Corresponding author) & Hjalmarsson, H. (Corresponding author), 2020, In: IFAC-PapersOnLine. 53, 2, blz. 46-51 6 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review
Open AccessBestand8 Citaten (Scopus)100 Downloads (Pure) -
A scalable multi-step least squares method for network identification with unknown disturbance topology
Fonken, S. J. M. (Corresponding author), Ramaswamy, K. & Van den Hof, P. M. J., 1 jul. 2022, In: Automatica. 141, 13 blz., 110295.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand8 Citaten (Scopus)79 Downloads (Pure) -
Integrating data-informativity conditions in predictor models for single module identification in dynamic networks
Van den Hof, P. M. J. (Corresponding author), Ramaswamy, K. R. & Fonken, S. J. M., nov. 2023, In: IFAC-PapersOnLine. 56, 2, blz. 2377-2382 6 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review
Open AccessBestand1 Citaat (Scopus)17 Downloads (Pure) -
Local Identification in Dynamic Networks using a Multi-Step Least Squares Method
Fonken, S. J. M., Ramaswamy, K. R. & Van den Hof, P. M. J., 2023, 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Institute of Electrical and Electronics Engineers, blz. 431-436 6 blz. 10384234. (Proceedings of the IEEE Conference on Decision and Control).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
1 Citaat (Scopus)
Scriptie
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Multi-step scalable least squares method for network identification with unknown noise topology
Fonken, S. J. M. (Auteur), Ramaswamy, K. (Afstudeerdocent 1) & Van den Hof, P. M. J. (Afstudeerdocent 2), 8 dec. 2020Scriptie/Masterproef: Master
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