Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7110269 | Control Engineering Practice | 2018 | 9 Pages |
Abstract
A Model Predictive Control (MPC) approach with integral action, called Integral MPC (IMPC), for Artificial Pancreas systems is proposed. IMPC ensures beneficial effects in terms of regulation to target in presence of disturbances and model uncertainties. The proposed approach exploits individualized models identified by Constrained Optimization (CO) described in Messori et al. (2016). In order to assess the proposed IMPC in comparison with a previously published MPC, in silico experiments are carried out on realistic scenarios performed on the 100 virtual patients of the UVA/PADOVA simulator.
Related Topics
Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
Gian Paolo Incremona, Mirko Messori, Chiara Toffanin, Claudio Cobelli, Lalo Magni,