2 papers
eess.SY2024
Mapping back and forth between model predictive control and neural networks
Ross Drummond, Pablo R Baldivieso-Monasterios, Giorgio Valmorbida
Model predictive control (MPC) for linear systems with quadratic costs and linear constraints is shown to admit an exact representation as an implicit neural network. A method to "…
eess.SY2024
Tuning the feedback controller gains is a simple way to improve autonomous driving performance
Wenyu Liang, Pablo R. Baldivieso, Ross Drummond +1
Typical autonomous driving systems are a combination of machine learning algorithms (often involving neural networks) and classical feedback controllers. Whilst significant progres…