Jürg Keller

Guided Multi-Fidelity Bayesian Optimization for Data-driven Controller Tuning with Digital Twins

We propose a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">guided multi-fidelity Bayesian optimization</i> framework for data-efficient controller tuning that integrates corrected digital twin simulations with real-world measurements. The method ta