Adaptive control solution for T1DM control

Gyorgy Eigner, J. Tar, L. Kovács

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

4 Citations (Scopus)

Abstract

The 'Type 1 Diabetes Mellitus (T1DM)' is a dangerous illness that concerns yearly increasing population. The control of the glucose level in the human body is a widely investigated subject area that also has serious technical difficulties as the lack of reliable system model for each individual patient, the limitations regarding the observability of the complete internal state of the patient (at least in the view of the system model). On this reason the 'Model Predictive Control (MPC)' needs either robust or adaptive completion in this field of application. In the lack of observable data the traditional state estimators may have only limited relevance. The 'Robust Fixed Point Transformation (RFPT)' based method was elaborated for the design of adaptive controllers typically for such situations. It does not need any sophisticated system model, it can work on the basis of observations that concern only the controlled quantity without the need of complete state estimation. In the present paper the use of the RFPT-based adaptive controller is reported in simulation investigations in which the validity of Bergman's 'Minimal Model' is assumed. Promising simulation results are presented.

Original languageEnglish
Title of host publicationSACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-220
Number of pages6
ISBN (Print)9781479999118
DOIs
Publication statusPublished - Aug 17 2015
Event10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2015 - Timisoara
Duration: May 21 2015May 23 2015

Other

Other10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2015
CityTimisoara
Period5/21/155/23/15

Fingerprint

Medical problems
Controllers
Observability
Model predictive control
State estimation
Glucose

Keywords

  • Adaptation models
  • Adaptive control
  • Blood
  • Diabetes
  • Insulin
  • Mathematical model
  • Sugar

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

Cite this

Eigner, G., Tar, J., & Kovács, L. (2015). Adaptive control solution for T1DM control. In SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 215-220). [7208202] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SACI.2015.7208202

Adaptive control solution for T1DM control. / Eigner, Gyorgy; Tar, J.; Kovács, L.

SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 215-220 7208202.

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

Eigner, G, Tar, J & Kovács, L 2015, Adaptive control solution for T1DM control. in SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings., 7208202, Institute of Electrical and Electronics Engineers Inc., pp. 215-220, 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2015, Timisoara, 5/21/15. https://doi.org/10.1109/SACI.2015.7208202
Eigner G, Tar J, Kovács L. Adaptive control solution for T1DM control. In SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 215-220. 7208202 https://doi.org/10.1109/SACI.2015.7208202
Eigner, Gyorgy ; Tar, J. ; Kovács, L. / Adaptive control solution for T1DM control. SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 215-220
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