Tube-based Model Predictive Control of Blood Glucose for Multiple Meal Scenarios
Author:
Affiliation:
1. Graduate School of System Informatics, Kobe University
Publisher
The Society of Instrument and Control Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sicetr/59/12/59_529/_pdf
Reference33 articles.
1. 1) Y.J. Heo, H. Shibata, T. Okitsu, T. Kawanishi and S. Takeuchi: Long-term in vivo glucose monitoring using fluorescent hydrogel fibers, Proc. National Academy of Sciences of the United States of America, 108, 13399/13403 (2011)
2. 2) E. Furutani: Systems, control and information technology in blood glucose management, Systems, Control and Information, 57-1, 25/30 (2013)
3. 3) C. Cobelli, E. Renard and B. Kovatchev: Artificial pancreas: Past, present, future, Diabetes, 60, 2672/2682 (2011)
4. 4) F.J. Doyle, L.M. Huyett, J.B. Lee, H.C. Zisser and E. Dassau: Closed-loop artificial pancreas systems: Engineering the algorithms, Diabetes Care, 37, 1191/1197 (2014)
5. 5) M. Messori, C. Cobelli and L. Magni: Artificial pancreas: from in-silico to in-vivo, IFAC-Papers OnLine, 48-8, 1300/1308 (2015)
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