Robin de Rozario
Cited by
Cited by
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
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
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning
R de Rozario, T Oomen
Automatica 107, 342-352, 2019
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
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
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
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
Advanced feedforward and learning control for mechatronic systems
L Blanken, R de Rozario, J van Zundert, S Koekebakker, M Steinbuch, ...
Proc. 3rd DSPE Conf. Prec. Mech, 79-86, 2016
Multivariable iterative learning control: analysis and designs for engineering applications
L Blanken, J van Zundert, R de Rozario, N Strijbosch, T Oomen
Preprint, 2019
Identifying position-dependent mechanical systems: A modal approach with applications to wafer stage control
R Voorhoeve, R de Rozario, W Aangenent, T Oomen
arXiv preprint arXiv:1807.06942, 2018
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
25th European Research Network System Identification (ERNSI) Workshop, 25-28†…, 2016
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, 2020
Data-Driven Learning Control for Complex Multivariable and Linear Parameter-Varying Systems
R de Rozario
Model Order Selection for Robust-Control-Relevant Identification
P Tacx, TAE Oomen, R de Rozario, AY Pogromskiy, G Witvoet, J NoŽl
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
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
Learning control without prior models multi-variable model-free IIC applied to an industrial printer
R de Rozario, T Oomen
38th Benelux Meeting on Systems and Control, 52, 2019
A global approach to Frequency Response Function Identification of LPV Systems: with application to motion systems
R de Rozario, T Oomen
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