Hybrid control of type 1 diabetes bolus therapy

H. Trogmann, H. Kirchsteiger, L. Del Re

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

5 Citations (Scopus)


The probably best treatment of type 1 diabetes mellitus (T1DM) would be an artificial pancreas (AP). Unfortunately, AP is still not available as AP requires continuous glucose measurements and continuous insulin delivery systems which are not available. The vast majority of patients do not use any of them but instead resort to a few irregularly sampled measurements and single insulin administrations ('insulin bolus'). Choosing time and quantity of a bolus delivery is critical for the health of T1DM patients, and ideally this should be done on basis of a model. While good physiological models for populations exist, in general they can hardly be tuned to specific patients and are therefore not very useful for bolus choice. Against this background, this paper proposes to see the issue of model based bolus choice in a hybrid framework in which the continuous time meal and insulin model is replaced by a discrete parameterization which associates to each meal and bolus a function of given, patient specific shape whose amplitude depends on the respective amounts. This allows restating the standard model predictive control of the AP design by a line search method.

Original languageEnglish
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
Number of pages6
Publication statusPublished - 2010
Externally publishedYes
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: 15 Dec 201017 Dec 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370


Conference2010 49th IEEE Conference on Decision and Control, CDC 2010
Country/TerritoryUnited States
CityAtlanta, GA


Dive into the research topics of 'Hybrid control of type 1 diabetes bolus therapy'. Together they form a unique fingerprint.

Cite this