2 citations · 2 across the 3 of their papers we have counts for
3 papers
Robust tracking MPC for perturbed nonlinear systems -- Extended version
Marco Polver, Daniel Limon, Fabio Previdi +1
This paper presents a novel robust predictive controller for constrained nonlinear systems that is able to track piece-wise constant setpoint signals. The tracking model predictive…
Robust contraction-based model predictive control for nonlinear systems
Marco Polver, Daniel Limon, Fabio Previdi +1
Model Predictive Control (MPC) is a widely known control method that has proved to be particularly effective in multivariable and constrained control. Closed-loop stability and rec…
CHoKI-based MPC for blood glucose regulation in Artificial Pancreas
Beatrice Sonzogni, José María Manzano, Marco Polver +2
This work presents a Model Predictive Control (MPC) for the artificial pancreas, which is able to autonomously manage basal insulin injections in type 1 diabetic patients. Specific…