کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
712158 1461146 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of Model Predictive and Adaptive Glucose Control Strategies for People with Type 1 Diabetes
ترجمه فارسی عنوان
ارزیابی راهبردهای کنترل و پیشگیری از قند خون برای افراد مبتلا به دیابت نوع 1
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی

This paper addresses overnight blood glucose stabilization in people with type 1 diabetes using a Model Predictive Controller (MPC). We use a control strategy based on an adaptive ARMAX model in which we use a Recursive Extended Least Squares (RELS) method to estimate parameters of the stochastic part. We compare this model structure with an autoregressive integrated moving average with exogenous input (ARIMAX) structure, and with an autoregressive moving average with exogenous input (ARMAX) model, i.e. without an integrator. Additionally, safety layers improve the controller robustness and reduce the risk of hypoglycemia. We test our control strategies on a virtual clinic of 100 randomly generated patients with a representative inter-subject variability. This virtual clinic is based on the Hovorka model. We consider the case where only half of the meal bolus is administered at mealtime, and the case where the insulin sensitivity varies during the night. The simulation results demonstrate that the adaptive control strategy can reduce the risks of hypoglycemia and hyperglycemia during the night.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 47, Issue 3, 2014, Pages 231–236
نویسندگان
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