3 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
Julius Jagdt, Johanna Menn, Sebastian Trimpe +2
Learning-based Model Predictive Control (MPC) using Gaussian processes (GPs) is an effective approach for safe control in the presence of model mismatch. High-probability safety gu…
Safety in safe Bayesian optimization and its ramifications for control
Christian Fiedler, Johanna Menn, Sebastian Trimpe
A recurring and important task in control engineering is parameter tuning under constraints, which conceptually amounts to optimization of a blackbox function accessible only throu…
Lipschitz Safe Bayesian Optimization for Automotive Control
Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse +1
Controller tuning is a labor-intensive process that requires human intervention and expert knowledge. Bayesian optimization has been applied successfully in different fields to aut…