Investigation of the TP modeling possibilities of the Hovorka T1DM model

György Eigner, István Böjthe, Péter Pausits, L. Kovács

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

3 Citations (Scopus)

Abstract

Controller design based on Linear Parameter Varying (LPV) and Linear Matrix Inequality (LMI) combination can be extremely useful in modeling and controller design for patient specific physiological systems, which are generally nonlinear, time varying systems. These methods allow us the usage of considerations which come from the linear controller design theorems, but require advanced mathematics and high computational capacity also. In this research we exhibit the usage of the Tensor Product (TP) model transformation regarding diabetes researches as a means to realize a Tensor Product based Type 1 Diabetes Mellitus model, whose basis is a control oriented, deviation based qLPV model. Our primary goal is to realize all possible TP models, derived by choosing different combination of parameters for the qLPV model, and to validate all of them, confirming that all the derived TP models approximately mimic the behavior of the original, nonlinear system having only numeric error.

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.
Pages259-264
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

Tensors
Medical problems
Controllers
Time varying systems
Linear matrix inequalities
Nonlinear systems

Keywords

  • LPV model
  • TP model
  • Type 1 Diabetes Mellitus
  • Validation

ASJC Scopus subject areas

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

Cite this

Eigner, G., Böjthe, I., Pausits, P., & Kovács, L. (2017). Investigation of the TP modeling possibilities of the Hovorka T1DM model. In SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 259-264). [7880314] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMI.2017.7880314

Investigation of the TP modeling possibilities of the Hovorka T1DM model. / Eigner, György; Böjthe, István; Pausits, Péter; Kovács, L.

SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 259-264 7880314.

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

Eigner, G, Böjthe, I, Pausits, P & Kovács, L 2017, Investigation of the TP modeling possibilities of the Hovorka T1DM model. in SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings., 7880314, Institute of Electrical and Electronics Engineers Inc., pp. 259-264, 15th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2017, Herl'any, Slovakia, 1/26/17. https://doi.org/10.1109/SAMI.2017.7880314
Eigner G, Böjthe I, Pausits P, Kovács L. Investigation of the TP modeling possibilities of the Hovorka T1DM model. In SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 259-264. 7880314 https://doi.org/10.1109/SAMI.2017.7880314
Eigner, György ; Böjthe, István ; Pausits, Péter ; Kovács, L. / Investigation of the TP modeling possibilities of the Hovorka T1DM model. SAMI 2017 - IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 259-264
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