Blood Glucose Adaptive Generalized Predictive Control for Critical Care Patients

Year 2019, Volume: 16 Issue: 2, 16 - 31, 01.11.2019

Saeed Balochıan , Gholam Reza Alıkhanı

Abstract

Blood glucose (BG) concentration control for
diabetic patients is a useful tool to reduce death and emergence of serious
complications. But glucose control in patients with high variation and
uncertainty with physiological conditions is harder. A generalized predictive
control based on adaptive control strategy with frequent glucose measurements
is proposed for blood glucose illness. Estimation of the parameters of the
model is performed with an identification algorithm based on Recursive Least
Squares (RLS) in on-line manner. The adaptive generalized predictive control is
performed and the results have shown that our proposed method is superior and
effective in controlling the concentration of blood glucose, contrary to the
high variations in the blood glucose response.

Keywords

Blood glucose control, Adaptive control, Adaptive generalized predictive control

References

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