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Semantic ScholarTom Oomen
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2010 – today
- 2019
[j22]Robin de Rozario, Tom Oomen:
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning. Automatica 107: 342-352 (2019)- [j21]Jurgen van Zundert
, Tom Oomen:
Stable inversion of LPTV systems with application in position-dependent and non-equidistantly sampled systems. Int. J. Control 92(5): 1022-1032 (2019) - [j20]Thijs Vromen, Cam-Hing Dai, Nathan van de Wouw, Tom Oomen, Patricia Astrid, Apostolos Doris, Henk Nijmeijer:
Mitigation of Torsional Vibrations in Drilling Systems: A Robust Control Approach. IEEE Trans. Contr. Sys. Techn. 27(1): 249-265 (2019) - [c51]Noud Mooren, Gert Witvoet, Tom Oomen:
Feedforward Motion Control: From Batch-to-Batch Learning to Online Parameter Estimation. ACC 2019: 947-952 - [c50]Robin de Rozario, Juliana Langen, Tom Oomen:
Multivariable Learning Using Frequency Response Data: A Robust Iterative Inversion-Based Control Approach with Application. ACC 2019: 2215-2220 - [c49]Gert Witvoet, Joost Peters, Stefan Kuiper, Tom Oomen:
Line-to-line repetitive control of a 6-DoF hexapod stage for overlay measurements using Atomic Force Microscopy. ACC 2019: 2464-2469 - [c48]Nard Strijbosch, Tom Oomen:
Beyond Quantization in Iterative Learning Control: Exploiting Time-Varying Time-Stamps. ACC 2019: 2984-2989 - [c47]Jurgen van Zundert, Wataru Ohnishi, Hiroshi Fujimoto, Tom Oomen:
System Inversion for Sampled-Data Feedforward Control: Balancing On-Sample and Intersample Behavior. ACC 2019: 4472-4477 - [c46]Joey Reinders, Frank Heck, Bram Hunnekens, Tom Oomen, Nathan van de Wouw:
Online hose calibration for pressure control in mechanical ventilation. ACC 2019: 5414-5419 - [c45]Martin Goubej, Sven Meeusen, Noud Mooren, Tom Oomen:
Iterative learning control in high-performance motion systems: from theory to implementation. ETFA 2019: 851-856 - 2018
- [c44]Robin de Rozario, Tom Oomen:
Improving transient learning behavior in model-free inversion-based iterative control with application to a desktop printer. AMC 2018: 455-460 - [c43]Lennart Blanken, Ids van den Meijdenberg, Tom Oomen:
Kernel-based regression of non-causal systems for inverse model feedforward estimation. AMC 2018: 461-466 - [c42]Jurgen van Zundert, Tom Oomen:
LPTV loop-shaping with application to non-equidistantly sampled precision mechatronics. AMC 2018: 467-472 - [c41]Tom Oomen, Cristian R. Rojas:
Sparse iterative learning control (SPILC): When to sample for resource-efficiency? AMC 2018: 497-503 - [c40]Robin de Rozario, Remy Pelzer, Sjirk H. Koekcbakker, Tom Oomen:
Accommodating Trial-Varying Tasks in Iterative Learning Control for LPV Systems, Applied to Printer Sheet Positioning. ACC 2018: 5213-5218 - [c39]Jurgen van Zundert, Fons Luijten, Tom Oomen:
Achieving Perfect Causal Feedforward Control in Presence of Nonminimum-Phase Behavior - Exploiting Additional Actuators and Squaring Down. ACC 2018: 6031-6036 - [c38]Lennart Blanken, Goksan Isil, Sjirk H. Koekebakker, Tom Oomen:
Data-Driven Feedforward Learning using Non-Causal Rational Basis Functions: Application to an Industrial Flatbed Printer. ACC 2018: 6672-6677 - [c37]Robbert Voorhoeve, Tom Oomen:
Numerically Reliable Identification of Fast Sampled Systems: A Novel δ-Domain Data-Dependent Orthonormal Polynomial Approach. CDC 2018: 1433-1438 - [c36]Enzo Evers, Bram De Jager, Tom Oomen:
Thermo-Mechanical Behavior in Precision Motion Control: Unified Framework for Fast and Accurate FRF Identification. IECON 2018: 4618-4623 - [i3]Lennart Blanken, Tom Oomen:
Multivariable Iterative Learning Control Design Procedures: from Decentralized to Centralized, Illustrated on an Industrial Printer. CoRR abs/1806.08550 (2018) - [i2]Robbert Voorhoeve, Robin de Rozario, Wouter H. T. M. Aangenent, Tom Oomen:
Identifying Position-Dependent Mechanical Systems: A Modal Approach with Applications to Wafer Stage Control. CoRR abs/1807.06942 (2018) - 2017
- [j19]Frank Boeren, Dennis Bruijnen, Tom Oomen:
Enhancing feedforward controller tuning via instrumental variables: with application to nanopositioning. Int. J. Control 90(4): 746-764 (2017) - [j18]Rick van der Maas, Annemiek van der Maas, Robbert Voorhoeve, Tom Oomen:
Accurate FRF Identification of LPV Systems: nD-LPM With Application to a Medical X-Ray System. IEEE Trans. Contr. Sys. Techn. 25(5): 1724-1735 (2017) - [j17]Joost Bolder, Jurgen van Zundert, Sjirk H. Koekebakker, Tom Oomen:
Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control. IEEE Trans. Industrial Electronics 64(5): 4207-4216 (2017) - [c35]Yijie Guo, Joost Peters, Tom Oomen, Sandipan Mishra:
Distributed model predictive control for ink-jet 3D printing. AIM 2017: 436-441 - [c34]Michiel A. Beijen, Marcel Heertjes, Robbert Voorhoeve, Tom Oomen:
Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS. ACC 2017: 3512-3517 - [c33]Robin de Rozario, Tom Oomen, Maarten Steinbuch:
Iterative Learning Control and feedforward for LPV systems: Applied to a position-dependent motion system. ACC 2017: 3518-3523 - [c32]Jurgen van Zundert, Tom Oomen:
An approach to stable inversion of LPTV systems with application to a position-dependent motion system. ACC 2017: 4890-4895 - [c31]Gianmarco Rallo, Simone Formentin, Cristian R. Rojas, Tom Oomen, Sergio M. Savaresi:
Data-driven H∞-norm estimation via expert advice. CDC 2017: 1560-1565 - [c30]Lennart Blanken, Tim Hazelaar, Sjirk H. Koekebakker, Tom Oomen:
Multivariable repetitive control design framework applied to flatbed printing with continuous media flow. CDC 2017: 4727-4732 - [i1]Tom Oomen, Cristian R. Rojas:
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility. CoRR abs/1706.01647 (2017) - 2016
- [j16]Jurgen van Zundert, Joost Bolder, Tom Oomen:
Optimality and flexibility in Iterative Learning Control for varying tasks. Automatica 67: 295-302 (2016) - [j15]Joost Bolder, Tom Oomen:
Inferential Iterative Learning Control: A 2D-system approach. Automatica 71: 247-253 (2016) - [j14]Robbert van Herpen, Okko H. Bosgra, Tom Oomen:
Bi-Orthonormal Polynomial Basis Function Framework With Applications in System Identification. IEEE Trans. Automat. Contr. 61(11): 3285-3300 (2016) - [j13]Marcel François Heertjes, Bart Van der Velden, Tom Oomen:
Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System. IEEE Trans. Contr. Sys. Techn. 24(1): 56-66 (2016) - [c29]Lennart Blanken, Frank Boeren, Dennis Bruijnen, Tom Oomen:
Rational iterative feedforward tuning: Approaches, stable inversion, and experimental comparison. ACC 2016: 2629-2634 - [c28]Jurgen van Zundert, Tom Oomen, Dip Goswami, W. P. M. H. Heemels:
On the potential of lifted domain feedforward controllers with a periodic sampling sequence. ACC 2016: 4227-4232 - [c27]Annemiek van der Maas, Rick van der Maas, Robbert Voorhoeve, Tom Oomen:
Frequency response function identification of LPV systems: A 2D-LRM approach with application to a medical X-ray system. ACC 2016: 4598-4603 - [c26]Robbert Voorhoeve, Robin de Rozario, Tom Oomen:
Identification for motion control: Incorporating constraints and numerical considerations. ACC 2016: 6209-6214 - [c25]Lennart Blanken, Sjirk H. Koekebakker, Tom Oomen:
Design and modeling aspects in multivariable iterative learning control. CDC 2016: 5502-5507 - 2015
- [j12]Joost Bolder, Tom Oomen:
Rational Basis Functions in Iterative Learning Control - With Experimental Verification on a Motion System. IEEE Trans. Contr. Sys. Techn. 23(2): 722-729 (2015) - [j11]Tom Oomen, Erik Grassens, Ferdinand Hendriks:
Inferential Motion Control: Identification and Robust Control Framework for Positioning an Unmeasurable Point of Interest. IEEE Trans. Contr. Sys. Techn. 23(4): 1602-1610 (2015) - [c24]J. C. D. van Zundert, J. L. C. Verhaegh, Wouter H. T. M. Aangenent, Tom Oomen, Duarte Antunes, W. P. M. H. Heemels:
Feedforward for multi-rate motion control: Enhanced performance and cost-effectiveness. ACC 2015: 2831-2836 - [c23]Joost Bolder, Tom Oomen:
Data-driven optimal ILC for multivariable systems: Removing the need for L and Q filter design. ACC 2015: 3546-3551 - [c22]Jurgen van Zundert, Joost Bolder, Tom Oomen:
Iterative Learning Control for varying tasks: Achieving optimality for rational basis functions. ACC 2015: 3570-3575 - [c21]Rick van der Maas, Annemiek van der Maas, Tom Oomen:
Accurate frequency response function identification of LPV systems: A 2D local parametric modeling approach. CDC 2015: 1465-1470 - [c20]Federico Felici, Tom Oomen:
Enhancing current density profile control in tokamak experiments using iterative learning control. CDC 2015: 5370-5377 - [c19]Frank Boeren, Lennart Blanken, Dennis Bruijnen, Tom Oomen:
Optimal estimation of rational feedforward controllers: An instrumental variable approach. CDC 2015: 6058-6063 - [c18]Frank Boeren, Abhishek Bareja, Tom Kok, Tom Oomen:
Unified ILC framework for repeating and varying tasks: A frequency domain approach with application to a wire-bonder. CDC 2015: 6724-6729 - 2014
- [j10]Robbert van Herpen, Tom Oomen, Maarten Steinbuch:
Optimally conditioned instrumental variable approach for frequency-domain system identification. Automatica 50(9): 2281-2293 (2014) - [j9]Tom Oomen:
Controlling aliased dynamics in motion systems? An identification for sampled-data control approach. Int. J. Control 87(7): 1406-1422 (2014) - [j8]Tom Oomen, Robbert van Herpen, Sander Quist, Marc M. J. van de Wal, Okko H. Bosgra, Maarten Steinbuch:
Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage. IEEE Trans. Contr. Sys. Techn. 22(1): 102-118 (2014) - [j7]Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson:
Iterative Data-Driven ℋ∞ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation. IEEE Trans. Contr. Sys. Techn. 22(6): 2247-2260 (2014) - [c17]Robbert van Herpen, Tom Oomen, Edward Kikken, Marc M. J. van de Wal, Wouter H. T. M. Aangenent, Maarten Steinbuch:
Exploiting additional actuators and sensors for nano-positioning robust motion control. ACC 2014: 984-990 - [c16]Joost Bolder, Tom Oomen, Maarten Steinbuch:
On inferential Iterative Learning Control: With example to a printing system. ACC 2014: 1827-1832 - [c15]Frank Boeren, Tom Oomen, Maarten Steinbuch:
Accuracy aspects in motion feedforward tuning. ACC 2014: 2178-2183 - [c14]Sachin Tejwant Navalkar, Jan-Willem van Wingerden, Edwin van Solingen, Tom Oomen, G. A. M. van Kuik:
Subspace Predictive Repetitive Control for wind turbine load alleviation using trailing edge flaps. ACC 2014: 4422-4427 - [c13]Joost Bolder, Tom Oomen, Maarten Steinbuch:
Aspects in inferential Iterative Learning Control: A 2D systems analysis. CDC 2014: 3584-3589 - 2013
- [c12]Frank Boeren, Robbert van Herpen, Tom Oomen, Marc M. J. van de Wal, Okko H. Bosgra:
Enhancing performance through multivariable weighting function design in ℋ- loop-shaping: with application to a motion system. ACC 2013: 6039-6044 - [c11]Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson:
Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system. ACC 2013: 6703-6708 - [c10]Frank Boeren, Tom Oomen:
Iterative feedforward control: a closed-loop identification problem and a solution. CDC 2013: 6694-6699 - [c9]Joost Bolder, Tom Oomen, Maarten Steinbuch:
Exploiting rational basis functions in iterative learning control. CDC 2013: 7321-7326 - 2012
- [j6]Tom Oomen, Okko H. Bosgra:
System identification for achieving robust performance. Automatica 48(9): 1975-1987 (2012) - [j5]David Rijlaarsdam, Tom Oomen, Pieter Nuij, Johan Schoukens, Maarten Steinbuch:
Uniquely connecting frequency domain representations of given order polynomial Wiener-Hammerstein systems. Automatica 48(9): 2381-2384 (2012) - [j4]Cristian R. Rojas, Tom Oomen, Håkan Hjalmarsson, Bo Wahlberg:
Analyzing iterations in identification with application to nonparametric H∞-norm estimation. Automatica 48(11): 2776-2790 (2012) - [c8]Joost Bolder, Bas P. Lemmen, Sjirk H. Koekebakker, Tom Oomen, Okko H. Bosgra, Maarten Steinbuch:
Iterative learning control with basis functions for media positioning in scanning inkjet printers. ISIC 2012: 1255-1260 - [c7]Tom Oomen, Robbert van Herpen, Sander Quist, Marc M. J. van de Wal, Okko H. Bosgra, Maarten Steinbuch:
Next-generation wafer stage motion control: Connecting system identification and robust control. ACC 2012: 2455-2460 - [c6]Robbert van Herpen, Tom Oomen, Okko H. Bosgra:
Bi-orthonormal basis functions for improved frequency-domain system identification. CDC 2012: 3451-3456 - 2011
- [j3]Tom Oomen, Jeroen van de Wijdeven, Okko H. Bosgra:
System Identification and Low-Order Optimal Control of Intersample Behavior in ILC. IEEE Trans. Automat. Contr. 56(11): 2734-2739 (2011) - [c5]Tom Oomen, Erik Grassens, Ferdinand Hendriks, Robbert van Herpen, Okko H. Bosgra:
Inferential motion control: Identification and robust control with unmeasured performance variables. CDC-ECE 2011: 964-969 - 2010
- [c4]Tom Oomen, Sander Quist, Robbert van Herpen, Okko H. Bosgra:
Identification and visualization of robust-control-relevant model sets with application to an industrial wafer stage. CDC 2010: 5530-5535
2000 – 2009
- 2009
- [j2]Tom Oomen, Jeroen van de Wijdeven, Okko H. Bosgra:
Suppressing intersample behavior in iterative learning control. Automatica 45(4): 981-988 (2009) - [c3]Tom Oomen, Okko H. Bosgra, Marc M. J. van de Wal:
Identification for robust inferential control. CDC 2009: 2581-2586 - 2008
- [c2]Tom Oomen, Jeroen van de Wijdeven, Okko H. Bosgra:
Suppressing intersample behavior in Iterative Learning Control. CDC 2008: 2391-2397 - [c1]Tom Oomen, Okko H. Bosgra:
Estimating disturbances and model uncertainty in model validation for robust control. CDC 2008: 5513-5518 - 2007
- [j1]Tom Oomen, Marc M. J. van de Wal, Okko H. Bosgra:
Design framework for high-performance optimal sampled-data control with application to a wafer stage. Int. J. Control 80(6): 919-934 (2007)
Coauthor Index
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