Tom Oomen
Orcid: 0000-0001-7721-4566
According to our database1,
Tom Oomen
authored at least 194 papers
between 2006 and 2025.
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Bibliography
2025
Autom., 2025
2024
Position-Dependent Motion Feedforward via Gaussian Processes: Applied to Snap and Force Ripple in Semiconductor Equipment.
IEEE Trans. Control. Syst. Technol., November, 2024
Vibration Control Under Frequency-Varying Disturbances With Application to Satellites.
IEEE Trans. Control. Syst. Technol., November, 2024
Stable Inversion of Piecewise Affine Systems With Application to Feedforward and Iterative Learning Control.
IEEE Trans. Autom. Control., October, 2024
Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions.
IFAC J. Syst. Control., 2024
Improving breathing effort estimation in mechanical ventilation via optimal experiment design.
IFAC J. Syst. Control., 2024
Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer.
IFAC J. Syst. Control., 2024
Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification.
IEEE Control. Syst. Lett., 2024
Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency.
IEEE Control. Syst. Lett., 2024
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification.
IEEE Control. Syst. Lett., 2024
A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC.
CoRR, 2024
Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control.
CoRR, 2024
CoRR, 2024
Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices.
Autom., 2024
Proceedings of the European Control Conference, 2024
Proceedings of the European Control Conference, 2024
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification.
Proceedings of the European Control Conference, 2024
Iterative interaction decoupling for multivariate time-varying systems applied to a Gravitational Wave Detector.
Proceedings of the European Control Conference, 2024
Automated Model-Free Commutation for Coarse Pointing Actuators in Free-Space Optical Communication.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024
2023
Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator.
IEEE Trans. Control. Syst. Technol., November, 2023
IEEE Trans. Control. Syst. Technol., July, 2023
IEEE Trans. Control. Syst. Technol., July, 2023
Frequency Response Function-Based Learning Control: Analysis and Design for Finite-Time Convergence.
IEEE Trans. Autom. Control., March, 2023
Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets.
J. Frankl. Inst., March, 2023
IEEE Trans. Instrum. Meas., 2023
Gaussian Process Repetitive Control With Application to an Industrial Substrate Carrier System With Spatial Disturbances.
IEEE Trans. Control. Syst. Technol., 2023
Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems.
IEEE Control. Syst. Lett., 2023
Direct Shaping of Minimum and Maximum Singular Values: An ℋ<sub></sub>/ℋ<sub>∞</sub> Synthesis Approach for Fault Detection Filters.
CoRR, 2023
Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach.
CoRR, 2023
Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control.
CoRR, 2023
A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems.
CoRR, 2023
Proceedings of the IEEE International Conference on Mechatronics, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Comparing Structured Ambiguity Sets for Stochastic Optimization: Application to Uncertainty Quantification.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
Novel Disturbance Observer Relevant Parametric System Identification Based on Robust Stability Criterion.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
Incorporating Prior Knowledge in Local Parametric Modeling for Frequency Response Measurements: Applied to Thermal/Mechanical Systems.
IEEE Trans. Control. Syst. Technol., 2022
Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope.
IEEE Trans. Control. Syst. Technol., 2022
J. Frankl. Inst., 2022
Hysteresis Feedforward Compensation: A Direct Tuning Approach Using Hybrid-MEM-Elements.
IEEE Control. Syst. Lett., 2022
A Fast Smoothing-Based Algorithm to Generate l<sub>∞</sub>-Norm Constrained Signals for Multivariable Experiment Design.
IEEE Control. Syst. Lett., 2022
IEEE Control. Syst. Lett., 2022
Feedforward Control in the Presence of Input Nonlinearities: A Learning-based Approach.
CoRR, 2022
Optimal Commutation for Switched Reluctance Motors using Gaussian Process Regression.
CoRR, 2022
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach.
CoRR, 2022
Automated MIMO Motion Feedforward Control: Efficient Learning through Data-Driven Gradients via Adjoint Experiments and Stochastic Approximation.
CoRR, 2022
Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution.
CoRR, 2022
Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications.
Autom., 2022
Gaussian process repetitive control: Beyond periodic internal models through kernels.
Autom., 2022
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Uncertain uncertainty in data-driven stochastic optimization: towards structured ambiguity sets.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach <sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
Feedforward of Sampled-Data System for High-Precision Motion Control using Basis Functions with ZOH Differentiator.
Proceedings of the American Control Conference, 2022
Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach.
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
2021
Identifying Position-Dependent Mechanical Systems: A Modal Approach Applied to a Flexible Wafer Stage.
IEEE Trans. Control. Syst. Technol., 2021
IEEE Trans. Control. Syst. Technol., 2021
Model-Free Learning for Massive MIMO Systems: Stochastic Approximation Adjoint Iterative Learning Control.
IEEE Control. Syst. Lett., 2021
Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction.
CoRR, 2021
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion.
CoRR, 2021
CoRR, 2021
Data-dependent orthogonal polynomials on generalized circles: A unified approach applied to δ-domain identification.
Autom., 2021
Multirate State Tracking for Improving Intersample Behavior in Iterative Learning Control.
Proceedings of the IEEE International Conference on Mechatronics, 2021
Suppressing spatially distributed disturbances by exploiting additional sensors and actuators in inferential motion control.
Proceedings of the IEEE International Conference on Mechatronics, 2021
A Closed-Loop Perspective on Fault Detection for Precision Motion Control: With Application to an Overactuated System.
Proceedings of the IEEE International Conference on Mechatronics, 2021
Proceedings of the IEEE International Conference on Mechatronics, 2021
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Conjugate Gradient MIMO Iterative Learning Control Using Data-Driven Stochastic Gradients.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Linear repetitive control for a nonlinear mechanical ventilation system using feedback linearization.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Proceedings of the 2021 American Control Conference, 2021
Accurate H<sub>∞</sub>iH<sub>∞</sub>-Norm Estimation via Finite-Frequency Norms of Local Parametric Models.
Proceedings of the 2021 American Control Conference, 2021
Suppressing non-collocated disturbances in inferential motion control: with application to a wafer stage.
Proceedings of the 2021 American Control Conference, 2021
Closed-loop Aspects in MIMO Fault Diagnosis with Application to Precision Mechatronics.
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021
Peak Amplitude-Constrained Experiment Design for FRF Identification of MIMO Motion Systems.
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021
Systematic feedback control design for scattered light noise mitigation in Virgo's MultiSAS.
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021
Kernel-Based Learning Control for Iteration-Varying Tasks Applied to a Printer With Friction.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021
2020
Beyond Performance/Cost Tradeoffs in Motion Control: A Multirate Feedforward Design With Application to a Dual-Stage Wafer System.
IEEE Trans. Control. Syst. Technol., 2020
Iterative Identification and Control Using Non-normalized Coprime Factors With Application in Wafer Stage Motion Control.
IEEE Trans. Control. Syst. Technol., 2020
Multivariable Iterative Learning Control Design Procedures: From Decentralized to Centralized, Illustrated on an Industrial Printer.
IEEE Trans. Control. Syst. Technol., 2020
CoRR, 2020
Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms.
CoRR, 2020
CoRR, 2020
Kernel-based identification of non-causal systems with application to inverse model control.
Autom., 2020
Hybrid-MEM-Element Feedforward: With Application to Hysteretic Piezoelectric Actuators.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 16th IEEE International Workshop on Advanced Motion Control, 2020
Suppressing Position-Dependent Disturbances in Repetitive Control: With Application to a Substrate Carrier System.
Proceedings of the 16th IEEE International Workshop on Advanced Motion Control, 2020
Proceedings of the 16th IEEE International Workshop on Advanced Motion Control, 2020
2019
IEEE Trans. Control. Syst. Technol., 2019
Stable inversion of LPTV systems with application in position-dependent and non-equidistantly sampled systems.
Int. J. Control, 2019
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning.
Autom., 2019
Iterative learning control in high-performance motion systems: from theory to implementation.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
Intermittent Sampling in Iterative Learning Control: a Monotonically-Convergent Gradient-Descent Approach with Application to Time Stamping.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
System Inversion for Sampled-Data Feedforward Control: Balancing On-Sample and Intersample Behavior.
Proceedings of the 2019 American Control Conference, 2019
Line-to-line repetitive control of a 6-DoF hexapod stage for overlay measurements using Atomic Force Microscopy.
Proceedings of the 2019 American Control Conference, 2019
Beyond Quantization in Iterative Learning Control: Exploiting Time-Varying Time-Stamps.
Proceedings of the 2019 American Control Conference, 2019
Multivariable Learning Using Frequency Response Data: A Robust Iterative Inversion-Based Control Approach with Application.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
Feedforward Motion Control: From Batch-to-Batch Learning to Online Parameter Estimation.
Proceedings of the 2019 American Control Conference, 2019
2018
Identifying Position-Dependent Mechanical Systems: A Modal Approach with Applications to Wafer Stage Control.
CoRR, 2018
Thermo-Mechanical Behavior in Precision Motion Control: Unified Framework for Fast and Accurate FRF Identification.
Proceedings of the IECON 2018, 2018
Numerically Reliable Identification of Fast Sampled Systems: A Novel δ-Domain Data-Dependent Orthonormal Polynomial Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Achieving Perfect Causal Feedforward Control in Presence of Nonminimum-Phase Behavior - Exploiting Additional Actuators and Squaring Down.
Proceedings of the 2018 Annual American Control Conference, 2018
Accommodating Trial-Varying Tasks in Iterative Learning Control for LPV Systems, Applied to Printer Sheet Positioning.
Proceedings of the 2018 Annual American Control Conference, 2018
Data-Driven Feedforward Learning using Non-Causal Rational Basis Functions: Application to an Industrial Flatbed Printer.
Proceedings of the 2018 Annual American Control Conference, 2018
LPTV loop-shaping with application to non-equidistantly sampled precision mechatronics.
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018
Improving transient learning behavior in model-free inversion-based iterative control with application to a desktop printer.
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018
Kernel-based regression of non-causal systems for inverse model feedforward estimation.
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018
2017
Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control.
IEEE Trans. Ind. Electron., 2017
Accurate FRF Identification of LPV Systems: nD-LPM With Application to a Medical X-Ray System.
IEEE Trans. Control. Syst. Technol., 2017
Enhancing feedforward controller tuning via instrumental variables: with application to nanopositioning.
Int. J. Control, 2017
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility.
CoRR, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Multivariable repetitive control design framework applied to flatbed printing with continuous media flow.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
An approach to stable inversion of LPTV systems with application to a position-dependent motion system.
Proceedings of the 2017 American Control Conference, 2017
Iterative Learning Control and feedforward for LPV systems: Applied to a position-dependent motion system.
Proceedings of the 2017 American Control Conference, 2017
Evaluating performance of multivariable vibration isolators: A frequency domain identification approach applied to an industrial AVIS.
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2016
IEEE Trans. Control. Syst. Technol., 2016
Bi-Orthonormal Polynomial Basis Function Framework With Applications in System Identification.
IEEE Trans. Autom. Control., 2016
Autom., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
On the potential of lifted domain feedforward controllers with a periodic sampling sequence.
Proceedings of the 2016 American Control Conference, 2016
Identification for motion control: Incorporating constraints and numerical considerations.
Proceedings of the 2016 American Control Conference, 2016
Frequency response function identification of LPV systems: A 2D-LRM approach with application to a medical X-ray system.
Proceedings of the 2016 American Control Conference, 2016
Rational iterative feedforward tuning: Approaches, stable inversion, and experimental comparison.
Proceedings of the 2016 American Control Conference, 2016
2015
Inferential Motion Control: Identification and Robust Control Framework for Positioning an Unmeasurable Point of Interest.
IEEE Trans. Control. Syst. Technol., 2015
Rational Basis Functions in Iterative Learning Control - With Experimental Verification on a Motion System.
IEEE Trans. Control. Syst. Technol., 2015
Accurate frequency response function identification of LPV systems: A 2D local parametric modeling approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Enhancing current density profile control in tokamak experiments using iterative learning control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Unified ILC framework for repeating and varying tasks: A frequency domain approach with application to a wire-bonder.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Optimal estimation of rational feedforward controllers: An instrumental variable approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Feedforward for multi-rate motion control: Enhanced performance and cost-effectiveness.
Proceedings of the American Control Conference, 2015
Iterative Learning Control for varying tasks: Achieving optimality for rational basis functions.
Proceedings of the American Control Conference, 2015
Data-driven optimal ILC for multivariable systems: Removing the need for L and Q filter design.
Proceedings of the American Control Conference, 2015
2014
Iterative Data-Driven ℋ<sub>∞</sub> Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation.
IEEE Trans. Control. Syst. Technol., 2014
Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage.
IEEE Trans. Control. Syst. Technol., 2014
Controlling aliased dynamics in motion systems? An identification for sampled-data control approach.
Int. J. Control, 2014
Optimally conditioned instrumental variable approach for frequency-domain system identification.
Autom., 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Subspace Predictive Repetitive Control for wind turbine load alleviation using trailing edge flaps.
Proceedings of the American Control Conference, 2014
Exploiting additional actuators and sensors for nano-positioning robust motion control.
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system.
Proceedings of the American Control Conference, 2013
Enhancing performance through multivariable weighting function design in ℋ- loop-shaping: with application to a motion system.
Proceedings of the American Control Conference, 2013
2012
Analyzing iterations in identification with application to nonparametric H<sub>∞</sub>-norm estimation.
Autom., 2012
Uniquely connecting frequency domain representations of given order polynomial Wiener-Hammerstein systems.
Autom., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Next-generation wafer stage motion control: Connecting system identification and robust control.
Proceedings of the American Control Conference, 2012
Iterative learning control with basis functions for media positioning in scanning inkjet printers.
Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012
2011
IEEE Trans. Autom. Control., 2011
Inferential motion control: Identification and robust control with unmeasured performance variables.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Identification and visualization of robust-control-relevant model sets with application to an industrial wafer stage.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
A robust-control-relevant model validation approach for continuously variable transmission control.
Proceedings of the American Control Conference, 2010
Experimental evaluation of robust-control-relevance: A confrontation with a next-generation wafer stage.
Proceedings of the American Control Conference, 2010
Experimental validation of a truck roll model using asynchronous measurements with low signal-to-noise ratios.
Proceedings of the American Control Conference, 2010
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the American Control Conference, 2009
Proceedings of the American Control Conference, 2009
2008
Estimating disturbances and model uncertainty in model validation for robust control.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach.
Proceedings of the American Control Conference, 2008
2007
Design framework for high-performance optimal sampled-data control with application to a wafer stage.
Int. J. Control, 2007
Aliasing of Resonance Phenomena in Sampled-Data Feedback Control Design: Hazards, Modeling, and a Solution.
Proceedings of the American Control Conference, 2007
2006
Exploiting H∞ Sampled-Data Control Theory for High-Precision Electromechanical Servo Control Design.
Proceedings of the American Control Conference, 2006