Robin de Rozario
Zitiert von
Zitiert von
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning
R de Rozario, T Oomen
Automatica 107, 342-352, 2019
Identifying position-dependent mechanical systems: A modal approach applied to a flexible wafer stage
R Voorhoeve, R de Rozario, W Aangenent, T Oomen
IEEE Transactions on Control Systems Technology 29 (1), 194-206, 2020
Finite-time learning control using frequency response data with application to a nanopositioning stage
R de Rozario, A Fleming, T Oomen
IEEE/ASME Transactions on Mechatronics 24 (5), 2085-2096, 2019
Iterative learning control and feedforward for LPV systems: Applied to a position-dependent motion system
R de Rozario, T Oomen, M Steinbuch
2017 American Control Conference (ACC), 3518-3523, 2017
Iterative control for periodic tasks with robustness considerations, applied to a nanopositioning stage
R de Rozario, AJ Fleming, T Oomen
IFAC-PapersOnLine 49 (21), 623-628, 2016
Advanced feedforward and learning control for mechatronic systems
LLG Blanken, R de Rozario, JCD van Zundert, SH Koekebakker, ...
2016 DPSE Conference on Precision Mechatronics (DSPE 2016), 79-86, 2016
Improving transient learning behavior in model-free inversion-based iterative control with application to a desktop printer
R De Rozario, T Oomen
2018 IEEE 15th international workshop on advanced motion control (AMC), 455-460, 2018
Accommodating trial-varying tasks in iterative learning control for LPV systems, applied to printer sheet positioning
R de Rozario, R Pelzer, S Koekcbakker, T Oomen
2018 Annual American Control Conference (ACC), 5213-5218, 2018
Identification for motion control: Incorporating constraints and numerical considerations
R Voorhoeve, R de Rozario, T Oomen
2016 American Control Conference (ACC), 6209-6214, 2016
Frequency response function identification of periodically scheduled linear parameter-varying systems
R de Rozario, T Oomen
Mechanical Systems and Signal Processing 148, 107156, 2021
Global feedforward control of spatio-temporal mechanical systems: With application to a prototype wafer stage
R de Rozario, R Voorhoeve, W Aangenent, T Oomen
IFAC-PapersOnLine 50 (1), 14575-14580, 2017
Multivariable nonparametric learning: A robust iterative inversion‐based control approach
R de Rozario, T Oomen
International Journal of Robust and Nonlinear Control 31 (2), 541-564, 2021
Model order selection in robust-control-relevant system identification
P Tacx, R de Rozario, T Oomen
IFAC-PapersOnLine 54 (7), 1-6, 2021
Frequency response function identification of LPV systems: a global approach with application to mechanical systems
R de Rozario, T Oomen
IFAC-PapersOnLine 51 (15), 108-113, 2018
Multivariable iterative learning control: analysis and designs for engineering applications
L Blanken, J van Zundert, R de Rozario, N Strijbosch, T Oomen
Data-driven modeling, filtering and control: methods and applications, 109-138, 2019
Learning control without prior models: Multi-variable model-free IIC, with application to a wide-format Printer
R de Rozario, T Oomen
IFAC-PapersOnLine 52 (15), 91-96, 2019
Frequency response function-based learning control: Analysis and design for finite-time convergence
R de Rozario, T Oomen
IEEE Transactions on Automatic Control 68 (3), 1807-1814, 2022
Multivariable learning using frequency response data: A robust iterative inversion-based control approach with application
R De Rozario, J Langen, T Oomen
2019 American Control Conference (ACC), 2215-2220, 2019
Identifying position-dependent mechanical systems: a physics-based LPV approach, with application to a wafer stage
R De Rozario, RJ Voorhoeve, W Aangenent, TAE Oomen
Data-driven learning control for complex multivariable and linear parameter-varying systems
R de Rozario
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