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On inversion-based approaches for feedforward and ILC

Mechatronics (Oxford), 2018-04, Vol.50, p.282-291

2018

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Multivariable Iterative Learning Control Design Procedures: From Decentralized to Centralized, Illustrated on an Industrial Printer

IEEE transactions on control systems technology, 2020-07, Vol.28 (4), p.1534-1541

2020

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Gaussian process repetitive control: Beyond periodic internal models through kernels

Automatica (Oxford), 2022-06, Vol.140, p.110273, Article 110273

2022

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Iterative motion feedforward tuning: A data-driven approach based on instrumental variable identification

Control engineering practice, 2015-04, Vol.37, p.11-19

2015

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State‐tracking iterative learning control in frequency domain design for improved intersample behavior

International journal of robust and nonlinear control, 2023-05, Vol.33 (7), p.4009-4027

2023

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Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control

IEEE transactions on industrial electronics (1982), 2017-05, Vol.64 (5), p.4207-4216

2017

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Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System

IEEE transactions on control systems technology, 2016-01, Vol.24 (1), p.56-66

2016

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Advanced Motion Control for Precision Mechatronics: Control, Identification, and Learning of Complex Systems

IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2018-01, Vol.7 (2), p.127-140

Oomen, Tom

2018

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Beyond decentralized wafer/reticle stage control design: A double-Youla approach for enhancing synchronized motion

Control engineering practice, 2019-02, Vol.83, p.21-32

2019

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Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage

IEEE transactions on control systems technology, 2014-01, Vol.22 (1), p.102-118

2014

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Inferential Motion Control: Identification and Robust Control Framework for Positioning an Unmeasurable Point of Interest

IEEE transactions on control systems technology, 2015-07, Vol.23 (4), p.1602-1610

2015

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Joint input shaping and feedforward for point-to-point motion: Automated tuning for an industrial nanopositioning system

Mechatronics (Oxford), 2014-09, Vol.24 (6), p.572-581

2014

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Kernel-based identification of non-causal systems with application to inverse model control

Automatica (Oxford), 2020-04, Vol.114, p.108830, Article 108830

2020

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Fast and accurate identification of thermal dynamics for precision motion control: Exploiting transient data and additional disturbance inputs

Mechatronics (Oxford), 2020-10, Vol.70, p.102401, Article 102401

2020

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Rational Basis Functions in Iterative Learning Control-With Experimental Verification on a Motion System

IEEE transactions on control systems technology, 2015-03, Vol.23 (2), p.722-729

2015

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Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications

Automatica (Oxford), 2022-05, Vol.139, p.110171, Article 110171

2022

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Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning

Automatica (Oxford), 2019-09, Vol.107, p.342-352

2019

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Comparing multivariable uncertain model structures for data‐driven robust control: Visualization and application to a continuously variable transmission

International journal of robust and nonlinear control, 2023-11, Vol.33 (16), p.9636-9664

2023

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Inferential Iterative Learning Control: A 2D-system approach

Automatica (Oxford), 2016-09, Vol.71, p.247-253

2016

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Noninvasive Breathing Effort Estimation of Mechanically Ventilated Patients Using Sparse Optimization

IEEE Open Journal of Control Systems, 2022, Vol.1, p.57-68

2022

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Data-dependent orthogonal polynomials on generalized circles: A unified approach applied to δ-domain identification

Automatica (Oxford), 2021-09, Vol.131, p.109709, Article 109709

2021

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Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices

Automatica (Oxford), 2024-03, Vol.161, p.111505, Article 111505

2024

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Frequency Response Function-Based Learning Control: Analysis and Design for Finite-Time Convergence

IEEE transactions on automatic control, 2023-03, Vol.68 (3), p.1807-1814

2023

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Sparse iterative learning control with application to a wafer stage: Achieving performance, resource efficiency, and task flexibility

Mechatronics (Oxford), 2017-11, Vol.47, p.134-147

2017

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Frequency response function identification of periodically scheduled linear parameter-varying systems

Mechanical systems and signal processing, 2021-02, Vol.148, p.107156, Article 107156

2021

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On inversion-based approaches for feedforward and ILC

Multivariable Iterative Learning Control Design Procedures: From Decentralized to Centralized, Illustrated on an Industrial Printer

Gaussian process repetitive control: Beyond periodic internal models through kernels

Iterative motion feedforward tuning: A data-driven approach based on instrumental variable identification

State‐tracking iterative learning control in frequency domain design for improved intersample behavior

Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control

Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System

Advanced Motion Control for Precision Mechatronics: Control, Identification, and Learning of Complex Systems

Beyond decentralized wafer/reticle stage control design: A double-Youla approach for enhancing synchronized motion

Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage

Inferential Motion Control: Identification and Robust Control Framework for Positioning an Unmeasurable Point of Interest

Joint input shaping and feedforward for point-to-point motion: Automated tuning for an industrial nanopositioning system

Kernel-based identification of non-causal systems with application to inverse model control

Fast and accurate identification of thermal dynamics for precision motion control: Exploiting transient data and additional disturbance inputs

Rational Basis Functions in Iterative Learning Control-With Experimental Verification on a Motion System

Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications

Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning

Comparing multivariable uncertain model structures for data‐driven robust control: Visualization and application to a continuously variable transmission

Inferential Iterative Learning Control: A 2D-system approach

Noninvasive Breathing Effort Estimation of Mechanically Ventilated Patients Using Sparse Optimization

Data-dependent orthogonal polynomials on generalized circles: A unified approach applied to δ-domain identification

Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices

Frequency Response Function-Based Learning Control: Analysis and Design for Finite-Time Convergence

Sparse iterative learning control with application to a wafer stage: Achieving performance, resource efficiency, and task flexibility

Frequency response function identification of periodically scheduled linear parameter-varying systems

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