Johan Kon - RankMe

26 papers C 3Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Dynamics-Aware Iterative Learning Control for Fast and Precise Motion of Multi-Joint Robots. AMC Deokjin Lee, Max van Haren, Johan Kon, Tom Oomen, Sehoon Oh
2026	J	`jnl`	Unconstrained Parametrizations of Discrete-Time Linear Input-Output Models: Stability and Dissipativity by Construction. IEEE Trans. Autom. Control. Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2025	J	`jnl`	A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models. CoRR Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2025	C	`conf`	Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer. ACC Tjeerd Ickenroth, Max van Haren, Johan Kon, Max van Meer, Jilles van Hulst, Tom Oomen
2025	J	`jnl`	Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer. CoRR Tjeerd Ickenroth, Max van Haren, Johan Kon, Max van Meer, Jilles van Hulst, Tom Oomen
2025	J	`jnl`	Feedforward Control for an Interventional X-Ray: A Parallel Physical Model and Neural Network Approach. IEEE Trans. Control. Syst. Technol. Johan Kon, Naomi de Vos, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2025	—	`conf`	Orthogonal projection-based regularization for efficient model augmentation. L4DC Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamas Peni, Maarten Schoukens, Roland Tóth
2025	J	`jnl`	Orthogonal projection-based regularization for efficient model augmentation. CoRR Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamás Péni, Maarten Schoukens, Roland Tóth
2024	J	`jnl`	Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer. IFAC J. Syst. Control. Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2024	J	`jnl`	Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification. IEEE Control. Syst. Lett. Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2024	—	`conf`	Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. ECC Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2024	J	`jnl`	Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. CoRR Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2023	—	`conf`	Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CDC Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2023	J	`jnl`	Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CoRR Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2023	J	`jnl`	Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control. CoRR Johan Kon, Naomi de Vos, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2023	—	`conf`	Nonlinear Repetitive Control for Mitigating Noise Amplification. CDC Leontine Aarnoudse, Alexey Pavlov, Johan Kon, Tom Oomen
2023	C	`conf`	Tech United Eindhoven Middle Size League Winner 2023. RoboCup 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
2022	—	`conf`	Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach CDC Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2022	J	`jnl`	Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach. CoRR Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2022	J	`jnl`	Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution. CoRR Johan Kon, Marcel Heertjes, Tom Oomen
2022	C	`conf`	Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach. ACC Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2022	J	`jnl`	Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach. CoRR Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2022	—	`conf`	Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics. CDC Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2022	J	`jnl`	Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics. CoRR Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2021	—	`conf`	Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. CDC Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen
2021	J	`jnl`	Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. CoRR Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen