5 citations · 5 across the 5 of their papers we have counts for
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Uncertainty-based perturb and observe for data-driven optimization
Leontine Aarnoudse, Mark Haring, Nathan van de Wouw +1
Data-based adaptive optimization methods hold great promise for the performance optimization of uncertain, time-varying processes. However, current methods are often based on conti…
Uncertainty-Based Perturb and Observe for Fast Optimization of Unknown, Time-Varying Processes
Leontine Aarnoudse, Mark Haring, Nathan van de Wouw +1
Model-free adaptive optimization methods are capable of optimizing unknown, time-varying processes even when other optimization methods are not. However, their practical applicatio…
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach
Leontine Aarnoudse, Johan Kon, Koen Classens +5
Cross-coupled iterative learning control (ILC) can achieve high performance for manufacturing applications in which tracking a contour is essential for the quality of a product. Th…
Automated MIMO Motion Feedforward Control: Efficient Learning through Data-Driven Gradients via Adjoint Experiments and Stochastic Approximation
Leontine Aarnoudse, Tom Oomen
Parameterized feedforward control is at the basis of many successful control applications with varying references. The aim of this paper is to develop an efficient data-driven appr…
Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms
Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren +1
Piezo-stepper actuators are used in many nanopositioning systems due to their high resolution, high stiffness, fast response, and the ability to position a mover over an infinite s…