Accurate H∞iH∞-Norm Estimation via Finite-Frequency Norms of Local Parametric Models. - Paul Tacx; Tom Oomen (ACC, 2021)

Control- Relevant Neural Networks for Intelligent Motion Feedforward. - Leontine Aarnoudse; Wataru Ohnishi; Maurice Poot; Paul Tacx; Nard Strijbosch; Tom Oomen (ICM, 2021)

Bode Analysis of Uncertain Multivariable Systems. - Paul Tacx; Tom Oomen (ACC, 2022)

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach *. - Leontine Aarnoudse; Johan Kon; Koen Classens; Max van Meer; Maurice Poot; Paul Tacx; Nard Strijbosch; Tom Oomen (CDC, 2022)

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach. - Leontine Aarnoudse; Johan Kon; Koen Classens; Max van Meer; Maurice Poot; Paul Tacx; Nard Strijbosch; Tom Oomen (CoRR, 2022)

Novel Disturbance Observer Relevant Parametric System Identification Based on Robust Stability Criterion. - Hanul Jung; Paul Tacx; Tom Oomen; Sehoon Oh (CCTA, 2023)

Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer. - Leontine Aarnoudse; Johan Kon; Wataru Ohnishi; Maurice Poot; Paul Tacx; Nard Strijbosch; Tom Oomen (IFAC J. Syst. Control., 2024)

Frequency domain identification for multivariable motion control systems: Applied to a prototype wafer stage. - Maarten van der Hulst; Rodrigo A. González; Koen Classens; Paul Tacx; Nic Dirkx; Jeroen van de Wijdeven; Tom Oomen (CoRR, 2025)