Applicability of asymptotic tracking in case of type 1 diabetes

Péter Szalay, Levente Kovács

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

Abstract

The quest for artificial pancreas can be structured in three tasks: glucose sensor, insulin pump and control algorithm. The latter is a key point of the diabetes closing the loop problem and its primary prerequisite is a valid model able to describe the blood glucose system. Among the many models appeared in the literature, the model of Magni et al [9] is widely used and represents a relatively complex nonlinear model with glucose absorption as well as subcutaneous glucose and insulin dynamics incorporated into its structure. Our aim is to hide the nonlinearity of this model by transforming the signal coming from a linear controller so that the response of the model would mimic the behavior of a linear system, desirably the one acquired through steady-state linearization; hence the validity of linear controllers could be extended. The nonlinear method known as asymptotic tracking of a linear system and presented in [13], needs the values of the state variables; hence a Kalman-filter extended for nonlinear systems is used. The capabilities of this approach are examined through simple control algorithms and realistic input scenarios.

Original languageEnglish
Title of host publicationSACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
Pages623-628
Number of pages6
DOIs
Publication statusPublished - Jul 11 2011
Event6th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2011 - Timisoara, Romania
Duration: May 19 2011May 21 2011

Publication series

NameSACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings

Conference

Conference6th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2011
CountryRomania
CityTimisoara
Period5/19/115/21/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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  • Cite this

    Szalay, P., & Kovács, L. (2011). Applicability of asymptotic tracking in case of type 1 diabetes. In SACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 623-628). [5873078] (SACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings). https://doi.org/10.1109/SACI.2011.5873078