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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.
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.
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SYSDYNET: Data-Driven Modeling in Dynamic Networks
Van den Hof, P. M. J., Haesaert, S., Kivits, E. M. M., Weiland, S., Lazar, M., Donkers, M. C. F., Tóth, R., Steentjes, T. R. V., Ramaswamy, K., Ludlage, J. H. A., Dreef, H. J., Cheng, X., Nawijn, H., van der Hagen, D., Fonken, S. J. M. & Shi, S.
1/09/16 → 31/08/22
Project: Research direct
Consistent identification of dynamic networks subject to white noise using Weighted Null-Space FittingFonken, S. J. M., Ferizbegovic, M. & Hjalmarsson, H., 2020, In: IFAC-PapersOnLine. 53, 2, p. 46-51 6 p.
Research output: Contribution to journal › Conference article › peer-reviewOpen AccessFile
A scalable multi-step least squares method for network identification with unknown disturbance topologyFonken, S. J. M., Ramaswamy, K. & Van den Hof, P. M. J., 1 Jul 2022, In: Automatica. 141, 13 p., 110295.
Research output: Contribution to journal › Article › Academic › peer-reviewOpen AccessFile
Multi-step scalable least squares method for network identification with unknown noise topologyAuthor: Fonken, S. J. M., 8 Dec 2020
Supervisor: Ramaswamy, K. (Supervisor 1) & Van den Hof, P. M. J. (Supervisor 2)
Student thesis: MasterFile