1 citations · 1 across the 3 of their papers we have counts for
3 papers
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
Sebastian Hirt, Andreas Höhl, Johannes Pohlodek +4
Model predictive control (MPC) is a powerful tool for controlling complex nonlinear systems under constraints, but often struggles with model uncertainties and the design of suitab…
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen
Safe learning of control policies remains challenging, both in optimal control and reinforcement learning. In this article, we consider safe learning of parametrized predictive con…
Stability-informed Bayesian Optimization for MPC Cost Function Learning
Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah +1
Designing predictive controllers towards optimal closed-loop performance while maintaining safety and stability is challenging. This work explores closed-loop learning for predicti…