Work

A robust tube-based MPC approach for safer insulin dosing

Year: 2026

Type: article

Abstract: We present a robust model predictive control (MPC) approach for safer insulin dosing in artificial pancreas systems. The method applies estimation-informed constraint tightening to maintain safety under disturbances and unmodeled dynamics. Safety margins, derived from estimator confidence, are enforced as tube-based tightening on state and input constraints. A zone control objective targets a glucose band with asymmetric weights that emphasize avoidance of low glucose. Simulation studies show fewer low glucose events and lower violation risk than a nominal MPC baseline, with comparable dosing effort. The contribution of this work is a robust zone MPC scheme that maps estimator uncertainty into safety margins for insulin dosing.

Source: IFAC Journal of Systems and Control

DOI: 10.1016/j.ifacsc.2026.100393

Authors: Nicola Licini, Marcelo Alves Santos, Fabio Previdi, Antonio Ferramosca

Institution: University of Bergamo

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $2,890