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  • Cankaya University Journal of Science and Engineering
  • Volume:16 Issue:2
  • Blood Glucose Adaptive Generalized Predictive Control for Critical Care Patients

Blood Glucose Adaptive Generalized Predictive Control for Critical Care Patients

Authors : Saeed BALOCHIAN, Gholam Reza ALIKHANI
Pages : 16-31
View : 15 | Download : 7
Publication Date : 2019-11-01
Article Type : Research Paper
Abstract :Blood glucose insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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

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