2013
DOI: 10.1177/193229681300700316
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Applicability Results of a Nonlinear Model-Based Robust Blood Glucose Control Algorithm

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Cited by 34 publications
(16 citation statements)
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“…Linear Parameter Varying (LPV) controllers could capture the dynamics of the glucose-insulin interaction well Kovács et al (2011) Pena et al (2011, making direct nonlinear control possible. The combination of the two approaches have high potential for glucose control Kovács et al (2013). This paper investigates whether the capabilities of a robust LPV controller could be extended by additional constraints to answer certain practical issues, such as avoiding hypoglycaemia and high carbohydrate intake.…”
Section: Introductionmentioning
confidence: 99%
“…Linear Parameter Varying (LPV) controllers could capture the dynamics of the glucose-insulin interaction well Kovács et al (2011) Pena et al (2011, making direct nonlinear control possible. The combination of the two approaches have high potential for glucose control Kovács et al (2013). This paper investigates whether the capabilities of a robust LPV controller could be extended by additional constraints to answer certain practical issues, such as avoiding hypoglycaemia and high carbohydrate intake.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the developed robust control framework [9] we have investigates the capabilities of a robust LPV controller in order to check if it could be extended by additional constraints to answer certain practical issues, such as avoiding hypoglycemia and high carbohydrate intake.…”
Section: A Lmi-based Robust Lpv Controlmentioning
confidence: 99%
“…From the aforementioned consideration it can be derived that the LPV-type diabetes models have the following form which can be observed in several studies [8,9,14]:…”
Section: Specificities Of Lpv Models In the Field Of Diabetes Researchmentioning
confidence: 99%
“…There were attempts with the fusion of modern and classical control theory, like switching Proportional-Integral-Derivative (PID) control [2,3], with modern control theory, for example Model Predictive Control (MPC) [4,5], or Soft Computing-based Control (SCC) [6,7]. Moreover, Robust Control (RC) theory also were considered by researches [8][9][10] in this scientific discipline. In order to test and preliminarily validate the developed algorithms in silico models can be used.…”
Section: Introductionmentioning
confidence: 99%