Robust nonlinear model predictive control of diabetes mellitus

L. Kovács, Csaba Maszlag, Miklós Mezei, György Eigner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The purpose of this paper is to present a Robust Nonlinear Model Predictive Control controller design opportunity and the results of three in silico test scenarios, where a nonlinear glucose model had to be controlled, and a desired blood glucose level had to be maintained. The chosen glucose model was a two compartmental, nonlinear model with time delay whose parameters were burdened with uncertainty. During the three test scenarios the controller performed well. It could keep the blood glucose level in the desired range without dangerous undershoots. In the third test scenario, during the simulation of 28 full days, 80% of the daily extremes lied between 5,5-10 mmol/l. The performance and computational bounds that are present at the moment are addressed and possible solutions are given at the end of the paper.

Original languageEnglish
Title of host publicationSAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-60
Number of pages6
ISBN (Electronic)9781509056545
DOIs
Publication statusPublished - Mar 16 2017
Event15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017 - Herl'any, Slovakia
Duration: Jan 26 2017Jan 28 2017

Other

Other15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017
CountrySlovakia
CityHerl'any
Period1/26/171/28/17

Fingerprint

Model predictive control
Medical problems
Glucose
Blood
Controllers
Time delay

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence
  • Hardware and Architecture

Cite this

Kovács, L., Maszlag, C., Mezei, M., & Eigner, G. (2017). Robust nonlinear model predictive control of diabetes mellitus. In SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 55-60). [7880363] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMI.2017.7880363

Robust nonlinear model predictive control of diabetes mellitus. / Kovács, L.; Maszlag, Csaba; Mezei, Miklós; Eigner, György.

SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 55-60 7880363.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kovács, L, Maszlag, C, Mezei, M & Eigner, G 2017, Robust nonlinear model predictive control of diabetes mellitus. in SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings., 7880363, Institute of Electrical and Electronics Engineers Inc., pp. 55-60, 15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017, Herl'any, Slovakia, 1/26/17. https://doi.org/10.1109/SAMI.2017.7880363
Kovács L, Maszlag C, Mezei M, Eigner G. Robust nonlinear model predictive control of diabetes mellitus. In SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 55-60. 7880363 https://doi.org/10.1109/SAMI.2017.7880363
Kovács, L. ; Maszlag, Csaba ; Mezei, Miklós ; Eigner, György. / Robust nonlinear model predictive control of diabetes mellitus. SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 55-60
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