Abstract
We study predictive control for blood glucose regulation in patients with type 1 diabetes mellitus. We determine optimal control actions for insulin and glucagon infusion via linear time-varying model predictive control (LTV MPC) and dynamic linerization around the state trajectory predicted. Through in silico implementation of a comprehensive nonlinear model, we show that our proposed controller is able to reject meal disturbances, retain normoglycemia afterwards and significantly outperform standard linearized MPC.
| Original language | English |
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| Title of host publication | Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 |
| Publisher | IEEE |
| Pages | 552-558 |
| ISBN (Electronic) | 979-8-3503-3544-6 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados Duration: 16 Aug 2023 → 18 Aug 2023 |
Conference
| Conference | 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 |
|---|---|
| Country/Territory | Barbados |
| City | Bridgetown |
| Period | 16/08/23 → 18/08/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
