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math.OC2024
Physics-informed Gaussian Processes as Linear Model Predictive Controller
Jörn Tebbe, Andreas Besginow, Markus Lange-Hegermann
We introduce a novel algorithm for controlling linear time invariant systems in a tracking problem. The controller is based on a Gaussian Process (GP) whose realizations satisfy a…
cs.LG2024★ 1 cited
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
Andreas Besginow, Jan David Hüwel, Thomas Pawellek +2
Model selection aims to find the best model in terms of accuracy, interpretability or simplicity, preferably all at once. In this work, we focus on evaluating model performance of…