Johan Kon

According to our database, Johan Kon authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models.

Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen

CoRR, February, 2025

Orthogonal projection-based regularization for efficient model augmentation.

Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamas Peni, Maarten Schoukens, Roland Tóth

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer.

Tjeerd Ickenroth, Max van Haren, Johan Kon, Max van Meer, Jilles van Hulst, Tom Oomen

Proceedings of the 2025 American Control Conference, 2025

2024

Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer.

Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

IFAC J. Syst. Control., 2024

Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification.

Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen

IEEE Control. Syst. Lett., 2024

Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification.

Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen

Proceedings of the European Control Conference, 2024

2023

Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control.

Johan Kon, Naomi de Vos, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen

CoRR, 2023

Tech United Eindhoven Middle Size League Winner 2023.

Ruben M. Beumer, Stefan Kempers, Jorrit Olthuis, Aneesh Deogan, Sander Doodeman, Wouter H. T. M. Aangenent, Ruud van den Bogaert, Patrick van Brakel, Matthias Briegel, Dennis Bruijnen, Hao Liang Chen, Yanick Douven, Danny Hameeteman, Gerard van Hattum, Kayden Knapik, Johan Kon, Harrie van de Loo, Ferry Schoenmakers, Jaap van der Stoel, Peter Teurlings, René van de Molengraft

Proceedings of the RoboCup 2023: Robot World Cup XXVI [Bordeaux, France, 4-10 July, 2023]., 2023

Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach.

Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Nonlinear Repetitive Control for Mitigating Noise Amplification.

Leontine Aarnoudse, Alexey Pavlov, Johan Kon, Tom Oomen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach.

Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

CoRR, 2022

Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution.

Johan Kon, Marcel Heertjes, Tom Oomen

CoRR, 2022

Tech United Eindhoven Middle Size League Winner 2022.

S. T. Kempers, D. M. J. Hameeteman, R. M. Beumer, J. P. van der Stoel, J. J. Olthuis, Wouter H. T. M. Aangenent, Patrick van Brakel, Matthias Briegel, Dennis Bruijnen, Ruud van den Bogaert, E. Deniz, A. S. Deogan, Yanick Douven, T. J. van Gerwen, A. A. Kokkelmans, J. J. Kon, W. J. P. Kuijpers, Peter van Lith, Harrie van de Loo, Koen Meessen, Y. M. A. Nounou, E. J. Olucha Delgado, F. B. F. Schoenmakers, J. Selten, Peter Teurlings, E. D. T. Verhees, M. J. G. van de Molengraft

Proceedings of the RoboCup 2022:, 2022

Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics.

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach ^*.

Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach.

Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen

Proceedings of the American Control Conference, 2022

2021

Vision-Based Machine Learning in Robot Soccer.

J. J. Olthuis, N. B. van der Meer, S. T. Kempers, C. A. van Hoof, R. M. Beumer, W. J. P. Kuijpers, A. A. Kokkelmans, Wouter Houtman, J. J. F. J. van Eijck, J. J. Kon, A. T. A. Peijnenburg, M. J. G. van de Molengraft

Proceedings of the RoboCup 2021: Robot World Cup XXIV, 2021

Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements.

Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Tech United Eindhoven Middle-Size League Winner 2019.

Wouter Houtman, C. M. Kengen, Peter van Lith, R. H. J. ten Berge, J. J. Kon, Koen Meessen, M. A. Haverlag, Yanick Douven, F. B. F. Schoenmakers, Dennis Bruijnen, Wouter H. T. M. Aangenent, Jorrit Olthuis, Marzieh Dolatabadi Farahani, S. T. Kempers, M. C. W. Schouten, R. M. Beumer, Wouter Kuijpers, A. A. Kokkelmans, Harrie van de Loo, M. J. G. van de Molengraft

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019