Projecten per jaar
Persoonlijk profiel
Academic background
Johan Kon received his BSc Mechanical Engineering (cum laude) and MSc Systems and Control (cum laude) degree from Eindhoven University of Technology, Eindhoven, The Netherlands. BSc en MSc (cum laude). As part of his studies, he did an internship on model-free reinforcement learning at Sapienza University of Rome, and graduated in collaboration with Canon Production Printing on learning control.
Research profile
In my research, I focus on learning from data for feedforward control of dynamic systems. Within feedforward control, both high performance as well as task flexibility are required. While model-based approaches are robust against varying tasks, their performance is limited by unmodelled dynamics that does not match the model. Learning control methods, such as iterative learning control, often lead to superior performance, but are only applicable to a single reference. My research focuses on learning and compensating the unmodelled effects through complementing model-based approaches with universal function approximators from the field of machine learning. Interpretability, data-efficiency, and safety are key topics within this research. The research is supported by and validated on industrial motion systems at ASML and Philips.
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Projecten
- 1 Actief
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Cross-coupled iterative learning control for complex systems: A monotonically convergent and computationally efficient approach
Aarnoudse, L., Kon, J., Classens, K., van Meer, M., Poot, M. M., Tacx, P. J. M. M., Strijbosch, N. & Oomen, T., 10 jan. 2023, 61th IEEE Conference on Decision and Control. Institute of Electrical and Electronics Engineers, blz. 1485-1490 6 blz. 9993408Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand52 Downloads (Pure) -
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach
Kon, J. J., van de Wijdeven, J., Bruijnen, D., Tóth, R., Heertjes, M. F. & Oomen, T. A. E., 22 sep. 2023, (Geaccepteerd/In druk) 62nd IEEE Conference on Decision and Control. Institute of Electrical and Electronics Engineers, 6 blz.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand60 Downloads (Pure) -
Feedforward Control for an Interventional X-ray: A Physics-Guided Neural Network Approach
Kon, J. J., Bruijnen, D., van de Wijdeven, J., Heertjes, M. F. & Oomen, T. A. E., 16 mrt. 2023, blz. 163-163. 1 blz.Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic
Open AccessBestand48 Downloads (Pure) -
Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control
Kon, J. J., de Vos, N. M. J., Bruijnen, D. J. H., van de Wijdeven, J. J. M., Heertjes, M. F. & Oomen, T. A. E., 14 mrt. 2023, (Geaccepteerd/In druk) In: IFAC-PapersOnLine. X, XXOnderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review
Open AccessBestand57 Downloads (Pure) -
Learning for Precision Motion of Mechatronic Systems: Add-on Physics-Guided Neural Network Feedforward Control
Kon, J. J., Bruijnen, D., van de Wijdeven, J., Heertjes, M. F. & Oomen, T. A. E., 9 okt. 2023.Onderzoeksoutput: Bijdrage aan congres › Abstract › Professioneel
Open AccessBestand50 Downloads (Pure)
Prijzen
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Best Student Paper Award at IFAC ALCOS
Kon, Johan (Ontvanger), Heertjes, Marcel F. (Ontvanger) & Oomen, Tom A.E. (Ontvanger), 2022
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Cursussen
Scriptie
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Intermittent Actuation and Sampling in Learning Control
Auteur: Kon, J. J., 12 jan. 2021Begeleider: Strijbosch, N. W. A. (Afstudeerdocent 1), Koekebakker, S. H. (Externe coach) & Oomen, T. A. E. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand