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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Parker, R.S. Harting, J.E. Peppas, N.A. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Chem. Eng., Purdue Univ., West Lafayette, IN, USA (Parker, R.S.) |
| Abstract | The authors present an algorithm for controlling blood glucose in the Type I diabetic patient using model predictive control (MPG) of a closed-loop insulin infusion pump. The controller is designed from a detailed 19th order model of the human glucose-insulin system. Input constraints, based on insulin pump and physiological requirements, are enforced. The controller is challenged with a hyperglycemic diabetic patient (setpoint tracking), and a controlled diabetic ingesting a meal (unmeasured disturbance rejection). To improve both robustness and performance, a new controller using MPC with state estimation is synthesized. Compared to the non-state estimating controller, the new controller results in a 40% improvement in overshoot, to a maximum hypoglycemic deviation of 7.9 mg/dl, and a 23% decrease in settling time. These results demonstrate the potential use for this algorithm in a closed-loop insulin infusion pump. |
| Starting Page | 1822 |
| Ending Page | 1823 |
| File Size | 276557 |
| Page Count | 2 |
| File Format | |
| ISBN | 0780338111 |
| DOI | 10.1109/IEMBS.1996.646272 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-10-31 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Predictive models Predictive control Insulin Diabetes Blood Sugar Humans Insulation life Robust control State estimation |
| Content Type | Text |
| Resource Type | Article |
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