Tom Oomen

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 172

Top Venues

CoRR

ACC

CDC

IEEE Trans. Control. Syst. Technol.

Publications

Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification. IEEE Control. Syst. Lett. 8 (2024)
Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Identification of Additive Continuous-time Systems in Open and Closed-loop. CoRR (2024)
Max van Meer, Gert Witvoet, Tom Oomen
Robust Commutation Design: Applied to Switched Reluctance Motors. CoRR (2024)
Max van Haren, Kentaro Tsurumoto, Masahiro Mae, Lennart Blanken, Wataru Ohnishi, Tom Oomen
A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC. CoRR (2024)
Tom Oomen, Cristian R. Rojas
Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices. Autom. 161 (2024)
Mathyn van Dael, Gert Witvoet, Bas Swinkels, Diego Bersanetti, Manuel Pinto, Julia Casanueva, Maddalena Mantovani, Piernicola Spinicelli, Camilla De Rossi, Tom Oomen
Iterative interaction decoupling for multivariate time-varying systems applied to a Gravitational Wave Detector. ECC (2024)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. ECC (2024)
Rogier Dinkla, Sebastiaan Paul Mulders, Tom Oomen, Jan-Willem van Wingerden
Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control. CoRR (2024)
Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification. CoRR (2024)
Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer. IFAC J. Syst. Control. 27 (2024)
Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification. IEEE Control. Syst. Lett. 8 (2024)
Rodrigo A. González, Koen Tiels, Tom Oomen
Kernel-based identification using Lebesgue-sampled data. Autom. 164 (2024)
Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton
Stable Inversion of Piecewise Affine Systems with Application to Feedforward and Iterative Learning Control. CoRR (2024)
Lars Van De Kamp, Joey Reinders, Bram Hunnekens, Tom Oomen, Nathan van de Wouw
Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions. IFAC J. Syst. Control. 27 (2024)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. CoRR (2024)
Max van Meer, Gert Witvoet, Tom Oomen
Robust Commutation Design: Applied to Switched Reluctance Motors. ECC (2024)
Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Max van Haren, Tom Oomen
Combined Time-Domain Optimization Design for Task-Flexible and High Performance ILC. ECC (2024)
Max van Meer, Rodrigo A. González, Gert Witvoet, Tom Oomen
Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors. CDC (2023)
Koen Classens, W. P. M. H. Heemels, Tom Oomen
Synthesis Approach for Fault Detection Filters. CoRR (2023)
Joey Reinders, David Elshove, Bram Hunnekens, Nathan van de Wouw, Tom Oomen
Triggered Repetitive Control: Application to Mechanically Ventilated Patients. IEEE Trans. Control. Syst. Technol. 31 (4) (2023)
Robin de Rozario, Tom Oomen
Frequency Response Function-Based Learning Control: Analysis and Design for Finite-Time Convergence. IEEE Trans. Autom. Control. 68 (3) (2023)
Johan Kon, Naomi de Vos, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control. CoRR (2023)
Nic Dirkx, Koen Tiels, Tom Oomen
A Wavelet-Based Approach to FRF Identification From Incomplete Data. IEEE Trans. Instrum. Meas. 72 (2023)
Leontine Aarnoudse, Alexey Pavlov, Johan Kon, Tom Oomen
Nonlinear Repetitive Control for Mitigating Noise Amplification. CDC (2023)
Robbert van der Kruk, Arend Jan van Noorden, Tom Oomen, René van de Molengraft, Herman Bruyninckx
Robotic Control for Vibration Reduction of Swinging Products. ICM (2023)
Rodrigo A. González, Koen Tiels, Tom Oomen
Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach. CoRR (2023)
Maurice Poot, Jim Portegies, Dragan Kostic, Tom Oomen
Rational Basis Functions in Iterative Learning Control for Multivariable Systems. CDC (2023)
Nard Strijbosch, Koen Tiels, Tom Oomen
Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator. IEEE Trans. Control. Syst. Technol. 31 (6) (2023)
Rogier Dinkla, Tom Oomen, Jan-Willem van Wingerden, Sebastiaan Paul Mulders
Data-Driven LIDAR Feedforward Predictive Wind Turbine Control. CCTA (2023)
Rodrigo A. González, Koen Tiels, Tom Oomen
Kernel-based identification using Lebesgue-sampled data. CoRR (2023)
Max van Meer, Rodrigo A. González, Gert Witvoet, Tom Oomen
Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors. CoRR (2023)
Max van Meer, Emre Deniz, Gert Witvoet, Tom Oomen
Cascaded Calibration of Mechatronic Systems via Bayesian Inference. CoRR (2023)
Nic Dirkx, Koen Tiels, Tom Oomen
Iterative Robust Experiment Design for MIMO System Identification via the S-Lemma. CCTA (2023)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CoRR (2023)
Max van Haren, Leonid Mirkin, Lennart Blanken, Tom Oomen
Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems. CoRR (2023)
Noa van Rijt, Ahmad Faza, Tom Oomen, Arnfinn Aas Eielsen
Learning Control Applied to a Digital-to-analogue Converter. CCTA (2023)
Max van Haren, Lennart Blanken, Tom Oomen
A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems. CoRR (2023)
Max van Haren, Leonid Mirkin, Lennart Blanken, Tom Oomen
Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems. IEEE Control. Syst. Lett. 7 (2023)
Leontine Aarnoudse, Tom Oomen
Efficient MIMO Iterative Feedback Tuning via Randomization. CDC (2023)
Hanul Jung, Paul Tacx, Tom Oomen, Sehoon Oh
Novel Disturbance Observer Relevant Parametric System Identification Based on Robust Stability Criterion. CCTA (2023)
Joey Reinders, Mattia Giaccagli, Bram Hunnekens, Daniele Astolfi, Tom Oomen, Nathan van de Wouw
Repetitive Control for Lur'e-Type Systems: Application to Mechanical Ventilation. IEEE Trans. Control. Syst. Technol. 31 (4) (2023)
Lotfi M. Chaouach, Tom Oomen, Dimitris Boskos
Comparing Structured Ambiguity Sets for Stochastic Optimization: Application to Uncertainty Quantification. CDC (2023)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CDC (2023)
Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Tom Oomen, Wojciech Paszke, Eric Rogers
Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets. J. Frankl. Inst. 360 (5) (2023)
Noud Mooren, Gert Witvoet, Tom Oomen
Gaussian Process Repetitive Control With Application to an Industrial Substrate Carrier System With Spatial Disturbances. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Jilles van Hulst, Maurice Poot, Dragan Kostic, Kai Wa Yan, Jim Portegies, Tom Oomen
Feedforward Control in the Presence of Input Nonlinearities: A Learning-based Approach. CoRR (2022)
Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics. CDC (2022)
Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen
Position-Dependent Snap Feedforward: A Gaussian Process Framework. ACC (2022)
Nic Dirkx, Marcel Bosselaar, Tom Oomen
-Norm Constrained Signals for Multivariable Experiment Design. IEEE Control. Syst. Lett. 6 (2022)
Max van Haren, Maurice Poot, Dragan Kostic, Robin van Es, Jim Portegies, Tom Oomen
Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder. CoRR (2022)
Max van Haren, Lennart Blanken, Tom Oomen
Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach. CoRR (2022)
Tom Bloemers, Tom Oomen, Roland Tóth
Frequency Response Data-Driven LPV Controller Synthesis for MIMO Systems. IEEE Control. Syst. Lett. 6 (2022)
Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control. CoRR (2022)
Max van Meer, Valentina Breschi, Tom Oomen, Simone Formentin
Direct data-driven design of LPV controllers with soft performance specifications. J. Frankl. Inst. 359 (2) (2022)
Lotfi M. Chaouach, Dimitris Boskos, Tom Oomen
Uncertain uncertainty in data-driven stochastic optimization: towards structured ambiguity sets. CDC (2022)
Maurice Poot, Jim Portegies, Noud Mooren, Max van Haren, Max van Meer, Tom Oomen
. ACC (2022)
Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach. CoRR (2022)
Enzo Evers, Bram de Jager, Tom Oomen
Incorporating Prior Knowledge in Local Parametric Modeling for Frequency Response Measurements: Applied to Thermal/Mechanical Systems. IEEE Trans. Control. Syst. Technol. 30 (1) (2022)
Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach. ACC (2022)
Masahiro Mae, Max van Haren, Wataru Ohnishi, Tom Oomen, Hiroshi Fujimoto
Feedforward of Sampled-Data System for High-Precision Motion Control using Basis Functions with ZOH Differentiator. ACC (2022)
Merijn Floren, Koen Classens, Tom Oomen, Jean-Philippe Noël
Data-driven feedback linearisation using model predictive control. CoRR (2022)
Max van Haren, Lennart Blanken, Tom Oomen
Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach. CDC (2022)
Paul Tacx, Tom Oomen
Bode Analysis of Uncertain Multivariable Systems. ACC (2022)
Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control. CDC (2022)
Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
. CDC (2022)
Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics. CoRR (2022)
Noud Mooren, Gert Witvoet, Tom Oomen
Gaussian process repetitive control: Beyond periodic internal models through kernels. Autom. 140 (2022)
Leontine Aarnoudse, Tom Oomen
Automated MIMO Motion Feedforward Control: Efficient Learning through Data-Driven Gradients via Adjoint Experiments and Stochastic Approximation. CoRR (2022)
Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, Tom Oomen
A non-causal approach for suppressing the estimation delay of state observer. ACC (2022)
Max van Haren, Lennart Blanken, Tom Oomen
Basis Function feedforward for Position-Dependent Systems. CoRR (2022)
Johan Kon, Dennis Bruijnen, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach. CoRR (2022)
Tom Bloemers, Tom Oomen, Roland Tóth
Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. IEEE Trans. Control. Syst. Technol. 30 (6) (2022)
Nard Strijbosch, Koen Tiels, Tom Oomen
Hysteresis Feedforward Compensation: A Direct Tuning Approach Using Hybrid-MEM-Elements. IEEE Control. Syst. Lett. 6 (2022)
Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen
Position-Dependent Snap Feedforward: A Gaussian Process Framework. CoRR (2022)
Max van Meer, Gert Witvoet, Tom Oomen
Optimal Commutation for Switched Reluctance Motors using Gaussian Process Regression. CoRR (2022)
Johan Kon, Marcel Heertjes, Tom Oomen
Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution. CoRR (2022)
Nard Strijbosch, Tom Oomen
Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications. Autom. 139 (2022)
Koen Classens, W. P. M. H. Heemels, Tom Oomen
A Closed-Loop Perspective on Fault Detection for Precision Motion Control: With Application to an Overactuated System. ICM (2021)
Isaac A. Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion. CoRR (2021)
Leontine Aarnoudse, Tom Oomen
Model-Free Learning for Massive MIMO Systems: Stochastic Approximation Adjoint Iterative Learning Control. IEEE Control. Syst. Lett. 5 (6) (2021)
Leontine Aarnoudse, Tom Oomen
Model-Free Learning for Massive MIMO Systems: Stochastic Approximation Adjoint Iterative Learning Control. ACC (2021)
Koen Classens, W. P. M. H. Heemels, Tom Oomen
Closed-loop Aspects in MIMO Fault Diagnosis with Application to Precision Mechatronics. ACC (2021)
Wataru Ohnishi, Nard Strijbosch, Tom Oomen
Multirate State Tracking for Improving Intersample Behavior in Iterative Learning Control. ICM (2021)
Nic Dirkx, Tom Oomen
Suppressing spatially distributed disturbances by exploiting additional sensors and actuators in inferential motion control. ICM (2021)
Tom Bloemers, Roland Tóth, Tom Oomen
Frequency Response Data Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. CoRR (2021)
Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. CDC (2021)
Leontine Aarnoudse, Tom Oomen
Conjugate Gradient MIMO Iterative Learning Control Using Data-Driven Stochastic Gradients. CDC (2021)
Joey Reinders, Bram Hunnekens, Tom Oomen, Nathan van de Wouw
Linear repetitive control for a nonlinear mechanical ventilation system using feedback linearization. CCTA (2021)
Paul Tacx, Tom Oomen
Accurate $\mathcal{H}_{\infty}$-Norm Estimation via Finite-Frequency Norms of Local Parametric Models. ACC (2021)
Max van Meer, Maurice Poot, Jim Portegies, Tom Oomen
Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction. CoRR (2021)
Noud Mooren, Gert Witvoet, Tom Oomen
A Gaussian Process Approach to Multiple Internal Models in Repetitive Control. AMC (2021)
Leontine Aarnoudse, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
Control- Relevant Neural Networks for Intelligent Motion Feedforward. ICM (2021)
Max van Haren, Maurice Poot, Dragan Kostic, Robin van Es, Jim Portegies, Tom Oomen
Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder. AMC (2021)
Tom Bloemers, Roland Tóth, Tom Oomen
Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems. CoRR (2021)
Robbert Voorhoeve, Robin de Rozario, Wouter H. T. M. Aangenent, Tom Oomen
Identifying Position-Dependent Mechanical Systems: A Modal Approach Applied to a Flexible Wafer Stage. IEEE Trans. Control. Syst. Technol. 29 (1) (2021)
Maurice Poot, Jim Portegies, Tom Oomen
Kernel-Based Learning Control for Iteration-Varying Tasks Applied to a Printer With Friction. AIM (2021)
Koen Classens, W. P. Maurice H. Heemels, Tom Oomen
Digital Twins in Mechatronics: From Model-based Control to Predictive Maintenance. DTPI (2021)
Nic Dirkx, Marcel Bosselaar, Tom Oomen
Peak Amplitude-Constrained Experiment Design for FRF Identification of MIMO Motion Systems. AMC (2021)
Thijs Sieswerda, Andrew J. Fleming, Tom Oomen
Model-free Multi-variable Learning Control of a Five Axis Nanopositioning Stage. AIM (2021)
Leontine Aarnoudse, Tom Oomen
Conjugate gradient MIMO iterative learning control using data-driven stochastic gradients. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tom Oomen