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Nonlinear Dynamics

pp 1–13

First Online: 19 June 2017Received: 26 August 2016Accepted: 03 June 2017DOI: 10.1007-s11071-017-3598-7

Cite this article as: Kovács, L. Nonlinear Dyn 2017. doi:10.1007-s11071-017-3598-7

Abstract

Modeling and control of diabetes mellitus DM are difficult due to the highly nonlinear attitude, time-delay effects, the impulse kind input signals and the lack of continuously available blood glucose BG level to be regulated. Regarding the mentioned problems, identification of DM model is crucial. Furthermore, due to the lack of information about the internal states which cannot be measured in everyday life and because the BG level is not available in every moment over time, adaptive robust control design method regardless exact model dependency would successfully handle these unfavorable effects without simplifications. The recently developed nonlinear robust fixed point transformation RFPT-based controller design method requires only a roughly approximate model in order to realize the controller structure. Moreover, parallel simulated approximate models—in order to provide additional internal information—can be used with the method. In this paper, the usability of the novel RFPT-based technique is demonstrated on the physiological problem of diabetes.

KeywordsAdaptive control Diabetes control Robust fixed point method T1DM RFPT 



Autor: Levente Kovács

Fuente: https://link.springer.com/



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