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; et al. (RoboCup, 2019)

Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. - Johan Kon; Nard Strijbosch; Sjirk H. Koekebakker; Tom Oomen (CDC, 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 (RoboCup, 2021)

Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach. - Johan Kon; Dennis Bruijnen; Jeroen van de Wijdeven; Marcel Heertjes; Tom Oomen (ACC, 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 (CDC, 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 (CDC, 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; et al. (RoboCup, 2022)

Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution. - Johan Kon; Marcel Heertjes; Tom Oomen (CoRR, 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)

Nonlinear Repetitive Control for Mitigating Noise Amplification. - Leontine Aarnoudse; Alexey Pavlov 001; Johan Kon; Tom Oomen (CDC, 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 (CDC, 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; et al. (RoboCup, 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)

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 (ECC, 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)

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)

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 (ACC, 2025)

Orthogonal projection-based regularization for efficient model augmentation. - Bendegúz M. Györök; Jan H. Hoekstra; Johan Kon; Tamas Peni; Maarten Schoukens; Roland Tóth (L4DC, 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, 2025)