Tom Oomen
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Connecting system identification and robust control for next-generation motion control of a wafer stage
T Oomen, R Van Herpen, S Quist, M Van De Wal, O Bosgra, M Steinbuch
IEEE Transactions on Control Systems Technology 22 (1), 102-118, 2013
On inversion-based approaches for feedforward and ILC
J van Zundert, T Oomen
Mechatronics 50, 282-291, 2018
Advanced motion control for precision mechatronics: Control, identification, and learning of complex systems
T Oomen
IEEJ Journal of Industry Applications 7 (2), 127-140, 2018
Rational basis functions in iterative learning control—with experimental verification on a motion system
J Bolder, T Oomen
IEEE Transactions on Control Systems Technology 23 (2), 722-729, 2014
Iterative motion feedforward tuning: A data-driven approach based on instrumental variable identification
F Boeren, T Oomen, M Steinbuch
Control Engineering Practice 37, 11-19, 2015
Constrained iterative feedback tuning for robust control of a wafer stage system
MF Heertjes, B Van der Velden, T Oomen
IEEE transactions on control systems technology 24 (1), 56-66, 2015
Frequency-domain ILC approach for repeating and varying tasks: With application to semiconductor bonding equipment
F Boeren, A Bareja, T Kok, T Oomen
IEEE/ASME Transactions on Mechatronics 21 (6), 2716-2727, 2016
Batch-to-batch rational feedforward control: from iterative learning to identification approaches, with application to a wafer stage
L Blanken, F Boeren, D Bruijnen, T Oomen
IEEE/ASME Transactions on Mechatronics 22 (2), 826-837, 2016
Using iterative learning control with basis functions to compensate medium deformation in a wide-format inkjet printer
J Bolder, T Oomen, S Koekebakker, M Steinbuch
Mechatronics 24 (8), 944-953, 2014
Optimality and flexibility in iterative learning control for varying tasks
J Van Zundert, J Bolder, T Oomen
Automatica 67, 295-302, 2016
Joint input shaping and feedforward for point-to-point motion: Automated tuning for an industrial nanopositioning system
F Boeren, D Bruijnen, N van Dijk, T Oomen
Mechatronics 24 (6), 572-581, 2014
Iterative Data-DrivenNorm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation
T Oomen, R van der Maas, CR Rojas, H Hjalmarsson
IEEE Transactions on Control Systems Technology 22 (6), 2247-2260, 2014
Sparse iterative learning control with application to a wafer stage: Achieving performance, resource efficiency, and task flexibility
T Oomen, CR Rojas
Mechatronics 47, 134-147, 2017
Exploiting additional actuators and sensors for nano-positioning robust motion control
R van Herpen, T Oomen, E Kikken, M van de Wal, W Aangenent, ...
Mechatronics 24 (6), 619-631, 2014
Resource-efficient ILC for LTI/LTV systems through LQ tracking and stable inversion: Enabling large feedforward tasks on a position-dependent printer
J van Zundert, J Bolder, S Koekebakker, T Oomen
Mechatronics 38, 76-90, 2016
Data‐driven multivariable ILC: enhanced performance by eliminating L and Q filters
J Bolder, S Kleinendorst, T Oomen
International Journal of Robust and Nonlinear Control 28 (12), 3728-3751, 2018
Enhancing flatbed printer accuracy and throughput: Optimal rational feedforward controller tuning via iterative learning control
J Bolder, J van Zundert, S Koekebakker, T Oomen
IEEE Transactions on Industrial Electronics 64 (5), 4207-4216, 2016
Subspace predictive repetitive control to mitigate periodic loads on large scale wind turbines
ST Navalkar, JW van Wingerden, E van Solingen, T Oomen, ...
Mechatronics 24 (8), 916-925, 2014
Mitigation of torsional vibrations in drilling systems: A robust control approach
T Vromen, CH Dai, N van de Wouw, T Oomen, P Astrid, A Doris, ...
IEEE Transactions on Control Systems Technology 27 (1), 249-265, 2017
Optimally conditioned instrumental variable approach for frequency-domain system identification
R Van Herpen, T Oomen, M Steinbuch
Automatica 50 (9), 2281-2293, 2014
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