liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Model Predictive Control with Invariant Sets in Artificial Pancreas for Type 1 Diabetes Mellitus
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Modellbaserad prediktionsreglering med invarianta mängder av artificiella pankreas för diabetes typ 1 (Swedish)
Abstract [en]

This thesis deals with Model Predictive Control (MPC) for artificial pancreas for Type 1 Diabetes Mellitus patients. A control strategy exploiting invariant sets in MPC for blood glucose level control is developed, to the authors knowledge for the first time. The work includes various types of invariant sets relevant for the artificial pancreas problem, and different ways to incorporate them into the MPC strategy. The work is an extension to the zone MPC controller for artificial pancreas developed at University of California Santa Barbara and Sansum Diabetes Research Institute.

The evaluation of the proposed control strategy is done in silico in the U.S. Food and Drug Administration approved metabolic simulator. The trials show some promising results in terms of more rapid meal responses and decreased variability between the subjects than the zone MPC. An attempt to robust control employing invariant sets proved to be less promising in the evaluations. The results indicate that the direct application of known robust control techniques is not appropriate, and that more appropriate robust control techniques must be searched for, or developed, more specific to the artificial pancreas control.

Altogether, this thesis pinpoints a possible future direction of artificial pancreas control design, with MPC based on invariant sets.

Place, publisher, year, edition, pages
2013. , 70 p.
Keyword [en]
MPC, Invariant sets, Artificial Pancreas, Type 1 Diabetes Mellitus
National Category
Control Engineering Endocrinology and Diabetes
URN: urn:nbn:se:liu:diva-94343ISRN: LiTH-ISY-EX--13/4699--SEOAI: diva2:632180
External cooperation
Department of Chemical Engineering, University of California Santa Barbara
Subject / course
Electrical Engineering
Available from: 2013-06-25 Created: 2013-06-24 Last updated: 2013-06-25Bibliographically approved

Open Access in DiVA

AndreasSvensson_ModelPredictiveControlwithInvariantSetsinArtificialPancreasforType1DiabetesMellitus(1330 kB)902 downloads
File information
File name FULLTEXT01.pdfFile size 1330 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Andreas, Svensson
By organisation
Automatic ControlThe Institute of Technology
Control EngineeringEndocrinology and Diabetes

Search outside of DiVA

GoogleGoogle Scholar
Total: 902 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 1477 hits
ReferencesLink to record
Permanent link

Direct link