Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder. - Max van Haren; Maurice Poot; Dragan Kostic; Robin van Es; Jim Portegies; Tom Oomen (AMC, 2021)

Position-Dependent Snap Feedforward: A Gaussian Process Framework. - Max van Haren; Maurice Poot; Jim Portegies; Tom Oomen (ACC, 2022)

Feedforward of Sampled-Data System for High-Precision Motion Control using Basis Functions with ZOH Differentiator. - Masahiro Mae; Max van Haren; Wataru Ohnishi; Tom Oomen; Hiroshi Fujimoto (ACC, 2022)

Gaussian Processes for Advanced Motion Control*. - Maurice Poot; Jim Portegies; Noud Mooren; Max van Haren; Max van Meer; Tom Oomen (ACC, 2022)

Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach. - Max van Haren; Lennart Blanken; Tom Oomen (CDC, 2022)

Basis Function feedforward for Position-Dependent Systems. - Max van Haren; Lennart Blanken; Tom Oomen (CoRR, 2022)

A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems. - Max van Haren; Lennart Blanken; Tom Oomen (CoRR, 2023)

Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems. - Max van Haren; Leonid Mirkin; Lennart Blanken; Tom Oomen (IEEE Control. Syst. Lett., 2023)

Combined Time-Domain Optimization Design for Task-Flexible and High Performance ILC. - Kentaro Tsurumoto; Wataru Ohnishi; Takafumi Koseki; Max van Haren; Tom Oomen (ECC, 2024)

Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency. - Rodrigo A. González; Max van Haren; Tom Oomen; Cristian R. Rojas (IEEE Control. Syst. Lett., 2024)

A frequency-domain approach for enhanced performance and task flexibility in finite-time ILC. - Max van Haren; Kentaro Tsurumoto; Masahiro Mae; Lennart Blanken; Wataru Ohnishi; Tom Oomen (Eur. J. Control, 2024)

Position-Dependent Motion Feedforward via Gaussian Processes: Applied to Snap and Force Ripple in Semiconductor Equipment. - Maurice Poot; Max van Haren; Dragan Kostic; Jim Portegies; Tom Oomen (IEEE Trans. Control. Syst. Technol., 2024)

Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer. - Tjeerd Ickenroth; Max van Haren; Johan Kon; Max van Meer; Jilles van Hulst; Tom Oomen (ACC, 2025)

Lifted Frequency-Domain Identification of Closed-Loop Multirate Systems: Applied to Dual-Stage Actuator Hard Disk Drives. - Max van Haren; Masahiro Mae; Lennart Blanken; Tom Oomen (CoRR, 2025)

System Identification Beyond the Nyquist Frequency: A Kernel-Regularized Approach. - Max van Haren; Roy S. Smith; Tom Oomen (CoRR, 2025)

Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach. - Max van Haren; Lennart Blanken; Tom Oomen (CoRR, 2025)

Local Rational Modeling for Identification Beyond the Nyquist Frequency: Applied to a Prototype Wafer Stage. - Max van Haren; Lennart Blanken; Koen Classens; Tom Oomen (CoRR, 2025)

Performance Analysis of Multirate Systems: A Direct Frequency-Domain Identification Approach. - Max van Haren; Lennart Blanken; Tom Oomen (CoRR, 2025)

GraFIT: A toolbox for fast and accurate frequency response identification in Gravitational Wave Detectors. - Mathyn van Dael; Max van Haren; Gert Witvoet; Bas Swinkels; Tom Oomen (CoRR, 2025)