| Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system I Proimadis, Y Broens, R Tóth, H Butler Learning for Dynamics and Control, 535-546, 2021 | 3 | 2021 |
| LPV sequential loop closing for high-precision motion systems* Y Broens, H Butler, R Tóth 2022 American Control Conference (ACC), 3178-3183, 2022 | 2 | 2022 |
| On modal observers for beyond rigid body H∞ control in high-precision mechatronics* Y Broens, H Butler, R Tóth 2022 IEEE 61st Conference on Decision and Control (CDC), 1722-1727, 2022 | 1 | 2022 |
| Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control Y Broens, H Butler, R Tóth arXiv preprint arXiv:2403.05878, 2024 | | 2024 |
| On improved commutation for moving-magnet planar actuators Y Broens, H Butler, R Tóth IEEE Control Systems Letters, 2023 | | 2023 |
| Exploring the use of deep learning in task-flexible ILC* ASH Vinjarapu, Y Broens, H Butler, R Tóth 2023 American Control Conference (ACC), 2751-2756, 2023 | | 2023 |
| Exploring the use of deep learning in task-flexible ILC A Sai Hariharan Vinjarapu, Y Broens, H Butler, R Tóth arXiv e-prints, arXiv: 2303.14402, 2023 | | 2023 |
| On discretization of continuous-time LPV control solutions Y Broens, H Butler, R Tóth arXiv preprint arXiv:2202.03177, 2022 | | 2022 |
| Exploring deep learning based task-flexible extensions to conventional ILC ASH Vinjarapu, R Tóth, Y Broens | | |
| Improved commutation methods for moving-magnet planar actuators Y Broens, H Butler, R Tóth Benelux Workshop on Systems and Control, 21, 0 | | |
