フォロー
Robin de Rozario
タイトル
引用先
引用先
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning
R de Rozario, T Oomen
Automatica 107, 342-352, 2019
542019
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
472020
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
302019
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
262017
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
202016
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
182018
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
182016
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
162018
Identification for motion control: Incorporating constraints and numerical considerations
R Voorhoeve, R de Rozario, T Oomen
2016 American Control Conference (ACC), 6209-6214, 2016
142016
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
132017
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
102018
Frequency response function identification of periodically scheduled linear parameter-varying systems
R de Rozario, T Oomen
Mechanical Systems and Signal Processing 148, 107156, 2021
92021
Model order selection in robust-control-relevant system identification
P Tacx, R de Rozario, T Oomen
IFAC-PapersOnLine 54 (7), 1-6, 2021
72021
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
62022
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
62021
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, 109-143, 2019
52019
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
52019
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
42019
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 Workshop of the European Research Network on System Identification …, 2016
32016
Stable Inversion of Piecewise Affine Systems with Application to Feedforward and Iterative Learning Control
IA Spiegel, N Strijbosch, R de Rozario, T Oomen, K Barton
IEEE Transactions on Automatic Control, 2024
12024
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