Leontine Aarnoudse

According to our database, Leontine Aarnoudse authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Uncertainty-based perturb and observe for data-driven optimization.

Leontine Aarnoudse, Mark Haring, Nathan van de Wouw, Alexey Pavlov

CoRR, April, 2026

2025

Uncertainty-Based Perturb and Observe for Fast Optimization of Unknown, Time-Varying Processes.

Leontine Aarnoudse, Mark Haring, Nathan van de Wouw, Alexey Pavlov

CoRR, August, 2025

Nonlinear iterative learning control for discriminating between disturbances.

Leontine Aarnoudse, Alexey Pavlov, Tom Oomen

Autom., 2025

Self-optimization of nonlinear iterative learning control and repetitive control^*.

Leontine Aarnoudse, Alexey Pavlov, Tom Oomen

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Uncertainty-Based Perturb and Observe for Fast Optimization of Unknown, Time-Varying Processes^*.

Leontine Aarnoudse, Mark Haring, Nathan van de Wouw, Alexey Pavlov

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

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

2023

Nonlinear Repetitive Control for Mitigating Noise Amplification.

Leontine Aarnoudse, Alexey Pavlov, Johan Kon, Tom Oomen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Efficient MIMO Iterative Feedback Tuning via Randomization.

Leontine Aarnoudse, Tom Oomen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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

Automated MIMO Motion Feedforward Control: Efficient Learning through Data-Driven Gradients via Adjoint Experiments and Stochastic Approximation.

Leontine Aarnoudse, Tom Oomen

CoRR, 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

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Control- Relevant Neural Networks for Intelligent Motion Feedforward.

Leontine Aarnoudse, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

Proceedings of the IEEE International Conference on Mechatronics, 2021

Conjugate Gradient MIMO Iterative Learning Control Using Data-Driven Stochastic Gradients.

Leontine Aarnoudse, Tom Oomen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Model-Free Learning for Massive MIMO Systems: Stochastic Approximation Adjoint Iterative Learning Control.

Leontine Aarnoudse, Tom Oomen

Proceedings of the 2021 American Control Conference, 2021

2020

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

Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, Tom Oomen

CoRR, 2020