Tom Oomen

Orcid: 0000-0001-7721-4566

According to our database1, Tom Oomen authored at least 194 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Nonlinear iterative learning control for discriminating between disturbances.
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

Data-enabled Predictive Repetitive Control.
CoRR, 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

Identification of Additive Continuous-time Systems in Open and Closed-loop.
CoRR, 2024

Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices.
Autom., 2024

Kernel-based identification using Lebesgue-sampled data.
Autom., 2024

Combined Time-Domain Optimization Design for Task-Flexible and High Performance ILC.
Proceedings of the European Control Conference, 2024

Robust Commutation Design: Applied to Switched Reluctance Motors.
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

Repetitive Control for Lur'e-Type Systems: Application to Mechanical Ventilation.
IEEE Trans. Control. Syst. Technol., July, 2023

Triggered Repetitive Control: Application to Mechanically Ventilated Patients.
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

A Wavelet-Based Approach to FRF Identification From Incomplete Data.
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

Cascaded Calibration of Mechatronic Systems via Bayesian Inference.
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

Robotic Control for Vibration Reduction of Swinging Products.
Proceedings of the IEEE International Conference on Mechatronics, 2023

Rational Basis Functions in Iterative Learning Control for Multivariable Systems.
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

Nonlinear Repetitive Control for Mitigating Noise Amplification.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Efficient MIMO Iterative Feedback Tuning via Randomization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Control Applied to a Digital-to-analogue Converter.
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

Iterative Robust Experiment Design for MIMO System Identification via the S-Lemma.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Data-Driven LIDAR Feedforward Predictive Wind Turbine Control.
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

Direct data-driven design of LPV controllers with soft performance specifications.
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

Frequency Response Data-Driven LPV Controller Synthesis for MIMO Systems.
IEEE Control. Syst. Lett., 2022

Basis Function feedforward for Position-Dependent Systems.
CoRR, 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

Data-driven feedback linearisation using model predictive control.
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

A non-causal approach for suppressing the estimation delay of state observer.
Proceedings of the American Control Conference, 2022

Bode Analysis of Uncertain Multivariable Systems.
Proceedings of the American Control Conference, 2022

Gaussian Processes for Advanced Motion Control<sup>*</sup>.
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

Position-Dependent Snap Feedforward: A Gaussian Process Framework.
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

Adaptive Control for Mechanical Ventilation for Improved Pressure Support.
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

Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems.
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

Control- Relevant Neural Networks for Intelligent Motion Feedforward.
Proceedings of the IEEE International Conference on Mechatronics, 2021

Digital Twins in Mechatronics: From Model-based Control to Predictive Maintenance.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements.
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

Glitch Compensation for a Digital-to-Analogue Converter.
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

A Gaussian Process Approach to Multiple Internal Models in Repetitive Control.
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021

Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder.
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

Model-free Multi-variable Learning Control of a Five Axis Nanopositioning Stage.
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

On the Role of Models in Learning Control: Actor-Critic Iterative Learning Control.
CoRR, 2020

Gaussian Process Repetitive Control for Suppressing Spatial Disturbances.
CoRR, 2020

Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms.
CoRR, 2020

Temperature-Dependent Modeling of Thermoelectric Elements.
CoRR, 2020

Improving mechanical ventilation for patient care through repetitive control.
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

Learning for Advanced Motion Control.
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

On Frequency Response Function Identification for Advanced Motion Control.
Proceedings of the 16th IEEE International Workshop on Advanced Motion Control, 2020

2019
Mitigation of Torsional Vibrations in Drilling Systems: A Robust Control Approach.
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

Towards Data-Driven LPV Controller Synthesis Based on Frequency Response Functions.
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

Online hose calibration for pressure control in mechanical ventilation.
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

Sparse iterative learning control (SPILC): When to sample for resource-efficiency?
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

Data-driven H∞-norm estimation via expert advice.
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

Distributed model predictive control for ink-jet 3D printing.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017

2016
Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System.
IEEE Trans. Control. Syst. Technol., 2016

Bi-Orthonormal Polynomial Basis Function Framework With Applications in System Identification.
IEEE Trans. Autom. Control., 2016

Optimality and flexibility in Iterative Learning Control for varying tasks.
Autom., 2016

Inferential Iterative Learning Control: A 2D-system approach.
Autom., 2016

Design and modeling aspects in multivariable iterative learning control.
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

Aspects in inferential Iterative Learning Control: A 2D systems analysis.
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

On inferential Iterative Learning Control: With example to a printing system.
Proceedings of the American Control Conference, 2014

Accuracy aspects in motion feedforward tuning.
Proceedings of the American Control Conference, 2014

2013
Exploiting rational basis functions in iterative learning control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Iterative feedforward control: a closed-loop identification problem and a solution.
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

System identification for achieving robust performance.
Autom., 2012

Bi-orthonormal basis functions for improved frequency-domain system identification.
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
System Identification and Low-Order Optimal Control of Intersample Behavior in ILC.
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

A robust-control-relevant perspective on model order selection.
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
Suppressing intersample behavior in iterative learning control.
Autom., 2009

Identification for robust inferential control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Reading of cracked optical discs using Iterative Learning Control.
Proceedings of the American Control Conference, 2009

Low-order system identification and optimal control of intersample behavior in ILC.
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


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