2 papers
eess.SY2025
Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning
Hannes Petrenz, Johannes Köhler, Francesco Borrelli
This paper presents a robust adaptive learning Model Predictive Control (MPC) framework for linear systems with parametric uncertainties and additive disturbances performing iterat…
eess.SY2024
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline
Hotae Lee, Francesco Borrelli
We propose a novel Stochastic Model Predictive Control (MPC) for uncertain linear systems subject to probabilistic constraints. The proposed approach leverages offline learning to…