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.
| Originalsprache | Englisch |
|---|---|
| Titel | 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 2084-2089 |
| Seitenumfang | 6 |
| ISBN (Print) | 9781467357173 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2013 |
| Extern publiziert | Ja |
| Veranstaltung | 52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italien Dauer: 10 Dez. 2013 → 13 Dez. 2013 |
Publikationsreihe
| Name | Proceedings of the IEEE Conference on Decision and Control |
|---|---|
| ISSN (Print) | 0743-1546 |
| ISSN (elektronisch) | 2576-2370 |
Konferenz
| Konferenz | 52nd IEEE Conference on Decision and Control, CDC 2013 |
|---|---|
| Land/Gebiet | Italien |
| Ort | Florence |
| Zeitraum | 10.12.2013 → 13.12.2013 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gute Gesundheit und Wohlergehen
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