Projects per year
Personal profile
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.
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- 1 Similar Profiles
Projects
- 1 Finished
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SYSDYNET: Data-Driven Modeling in Dynamic Networks
Van den Hof, P. M. J. (Project Manager), Haesaert, S. (Project member), Kivits, E. M. M. (Project member), Weiland, S. (Project member), Lazar, M. (Project member), Donkers, M. C. F. (Project member), Tóth, R. (Project member), Steentjes, T. R. V. (Project member), Ramaswamy, K. (Project member), Ludlage, J. H. A. (Project member), Dreef, H. J. (Project member), Cheng, X. (Project member), Nawijn, H. (Project communication officer), van der Hagen, D. (Project communication officer), Fonken, S. J. M. (Project member) & Shi, S. (Project member)
1/09/16 → 31/08/22
Project: Research 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, p. 46-51 6 p.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile9 Citations (Scopus)88 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 p., 110295.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Citations (Scopus)62 Downloads (Pure) -
Fault detection and diagnosis using the dynamic network framework
Shi, Y., Fonken, S. J. M. & Van den Hof, P. M. J., 2024, In: IFAC-PapersOnLine. 58, 15, p. 384-389 6 p.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile13 Downloads (Pure) -
SYSDYNET: A MATLAB App and Toolbox for Dynamic Network Identification
Van den Hof, P. M. J. (Corresponding author), Shi, S., Weerts, H. H. M., Cheng, X., Ramaswamy, K. R., Dankers, A. G., Dreef, H. J., Fonken, S. J. M., Steentjes, T. R. V. & Meijer, J. B. T., 2024, In: IFAC-PapersOnLine. 58, 15, p. 574-579 6 p.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile5 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, p. 2377-2382 6 p.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile1 Citation (Scopus)16 Downloads (Pure)
Thesis
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Multi-step scalable least squares method for network identification with unknown noise topology
Fonken, S. J. M. (Author), Ramaswamy, K. (Supervisor 1) & Van den Hof, P. M. J. (Supervisor 2), 8 Dec 2020Student thesis: Master
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