Abstract
This paper investigates the applicability of tube-based robust MPC to control the blood glucose concentration in type 1 diabetic subjects through simulation studies. An existing, widely used nonlinear time-invariant 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 | 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2084-2089 |
| Number of pages | 6 |
| ISBN (Print) | 9781467357173 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy Duration: 10 Dec 2013 → 13 Dec 2013 |
Publication series
| Name | Proceedings of the IEEE Conference on Decision and Control |
|---|---|
| ISSN (Print) | 0743-1546 |
| ISSN (Electronic) | 2576-2370 |
Conference
| Conference | 52nd IEEE Conference on Decision and Control, CDC 2013 |
|---|---|
| Country/Territory | Italy |
| City | Florence |
| Period | 10.12.2013 → 13.12.2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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