Michael W. Fouts

Scaling Gaussian Processes for Deterministic Model Predictive Control with Online Updates: A Framework for Model Selection and Re-identification in Process Control

Gaussian processes (GPs) are powerful, nonparametric models, widely recognized as universal function approximators due to their ability to provide robust probabilistic predictions alongside quantified uncertainty estimates. This has allowed for the modeling of complex processes in chemical engineering with applications...