4 citations · 8 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
A virtual sensor fusion approach for state of charge estimation of lithium-ion cells
Davide Previtali, Daniele Masti, Mirko Mazzoleni +1
This paper addresses the estimation of the State Of Charge (SOC) of lithium-ion cells via the combination of two widely used paradigms: Kalman Filters (KFs) equipped with Equivalen…
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…