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- Title
Model Predictive Control with Learning-Type Set-Point: Application to Artificial Pancreatic β-Cell.
- Authors
Youqing Wang; Zisser, Howard; Dassau, Eyal; Jovanovič, Lois; Doyle III, Francis J.
- Abstract
The article presents study that proposed a novel blend of model predictive control (MPC) and iterative learning control (ILC), also called learning-type MPC (L-MPC), for closed-loop control in an artificial pancreatic beta-cell. The proposed approach is initially tested on the Adult Average subject. The study showed that the blood glucose concentrations, after 20 days, can be maintained within 68-145 milligrams per decilitre (mg/dl) when the means are repetitive. L-MPC can generate superior control performance compared with that realized under MPC.
- Subjects
PREDICTIVE control systems; PANCREATIC beta cells; DIABETES; BLOOD sugar; GLUCOSE
- Publication
AIChE Journal, 2010, Vol 56, Issue 6, p1510
- ISSN
0001-1541
- Publication type
Article
- DOI
10.1002/aic.12081