title: Adaptation drift suppression in blood glucose self-tuning control.
abstract: To improve the glycemic regulation in clamping, a modification of the recursive least squares (RLS) estimation to be applied to any self-tuning adaptive control algorithm has been developed. It has been used in combination with a pole assignment controller, and its results have been compared through computer simulation in 12 test models with 3 other algorithms. It produces an improvement in the efficiency and the control cost, and it shows indications of ameliorating the stability. It also has been observed that for glycemic control, a minimum variance controller (control advance moving average controller [CAMAC]) is very efficient, whereas an empirical type of controller (Clemens) requires low control action. Some recommendations are made for the use of the algorithm in clamping in a hypothetical electromechanical endocrine artificial pancreas.
authors.affiliation: Departamento de Medicina Preventiva, Universidad Autónoma de Madrid, Spain.
authors.forename: J F
authors.initials: JF
authors.lastname: Casanova Domingo
authors.forename: R
authors.initials: R
authors.lastname: Ruiz
authors.forename: F
authors.initials: F
authors.lastname: Aldana
authors.forename: M
authors.initials: M
authors.lastname: Serrano-Ríos
mesh_terms: D000465:Algorithms; D003198:Computer Simulation / Q000191:economics / Q000592:standards* / Q000639:trends; D003362:Cost-Benefit Analysis; D003920:Diabetes Mellitus / Q000097:blood; D006801:Humans; D006943:Hyperglycemia / Q000097:blood; D007003:Hypoglycemia / Q000097:blood; D008954:Models, Biological; D019397:Pancreas, Artificial; D011786:Quality Control; D015203:Reproducibility of Results