Abstract
This paper investigates the applicability of tubebased
robust MPC to control the blood glucose concentration
in type 1 diabetic subjects through simulation studies. An
existing, widely used metabolic simulation model is adopted and
extended with several physiologically motivated uncertainties to
account for the underlying intra–patient variability observed in
real patients. Results on a virtual subject show that robustness
to uncertainties can be improved and the risk of hypoglycemia
reduced, without increasing the online computational demands
compared to the conventional model predictive control approach.
| Original language | English |
|---|---|
| Title of host publication | 52nd IEEE Conference on Decision and Control (CDC) |
| Pages | 2084-2089 |
| Number of pages | 6 |
| Publication status | Published - Dec 2013 |
Fields of science
- 203 Mechanical Engineering
- 202034 Control engineering
- 202012 Electrical measurement technology
- 206 Medical Engineering
- 202027 Mechatronics
- 202003 Automation
- 203027 Internal combustion engines
- 207109 Pollutant emission
JKU Focus areas
- Mechatronics and Information Processing
