Affiliations: Universidad Autónoma de of San Luis Potosí, Facultad de Ciencias, Av. Salvador Nava s/n, Zona Universitaria, C.P. 78290, S.L.P., México | Div. Mat. Aplicadas y Sistemas Computacionales, IPICYT, San Luis Potosí, S.L.P., México | Universidad Autónoma de of San Luis Potosí, CIEP, Facultad de Ingeniería, Mexico | Universidad Autónoma de San Luis Potosí, Facultad de Medicina, San Luis Potosí, S.L.P., México
Note: [] Corresponding author: Dr D. U. Campos-Delgado, Universidad Autónoma de of San Luis Potosí, Facultad de Ciencias, Av. Salvador Nava s/n, Zona Universitaria, C.P. 78290, S.L.P., México. Email: [email protected]
Abstract: A self-tuning algorithm is presented for on-line insulin dosage adjustment in type 1 diabetic patients (chronic stage). The algorithm suggested does not need information of the patient insulin–glucose dynamics (model-free). Three doses are programmed daily, where a combination of two types of insulin: rapid/short and intermediate/long acting is injected into the patient through a subcutaneous route. The doses adaptation is performed by reducing the error in the blood glucose level from euglycemics. In this way, a total of five doses are tuned per day: three rapid/short and two intermediate/long, where there is large penalty to avoid hypoglycemic scenarios. Closed-loop simulation results are illustrated using a detailed nonlinear model of the subcutaneous insulin–glucose dynamics in a type 1 diabetic patient with meal intake.