Fuzzy Model Predictive Controller for Artificial Pancreas
نویسندگان
چکیده
منابع مشابه
A Constrained Model Predictive Controller for an Artificial Pancreas
A Constrained Model Predictive Control (CMPC) approach for regulating blood-glucose levels in people with type 1 Diabetes is proposed. The controller uses the past suggested insulin, the subcutaneous glucose level, and an estimation of the carbohydrate amount of the future meals provided by the patient as inputs to decide the quantity of insulin to inject by a subcutaneous pump. This strategy a...
متن کاملArtificial Pancreas Based on Model Predictive Control
Diabetes is recognized as a group of heterogeneous disorders with the common elements of high blood glucose concentration and glucose intolerance, due to insulin deficiency and impaired effectiveness of insulin action. The most common types of diabetes are diabetes mellitus type 1 and diabetes mellitus type 2, which does not necessarily require insulin injections. Type 2 constitutes about 85 to...
متن کاملModel Predictive Controller Based on a State Space Fuzzy Model
This paper presents the application of a combined control strategy grounded in a basic Model Predictive Control (MPC) structure, but using a Discrete Fuzzy Model (DFM) of the process in the state space domain. In order to overcome the drawback of the non-convex optimization problem generated when a non-linear model is used, two methods of optimization are tested. The first one is the traditiona...
متن کاملArtificial pancreas: model predictive control design from clinical experience.
BACKGROUND The objective of this research is to develop a new artificial pancreas that takes into account the experience accumulated during more than 5000 h of closed-loop control in several clinical research centers. The main objective is to reduce the mean glucose value without exacerbating hypo phenomena. Controller design and in silico testing were performed on a new virtual population of t...
متن کاملProposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor.
BACKGROUND Physicians tailor insulin dosing based on blood glucose goals, response to insulin, compliance, lifestyle, eating habits, daily schedule, and fear of and ability to detect hypoglycemia. METHOD We introduce a method that allows a physician to tune a fuzzy logic controller (FLC) artificial pancreas (AP) for a particular patient. It utilizes the physician's judgment and weighing of va...
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems (IJPEDS)
سال: 2018
ISSN: 2088-8694,2088-8694
DOI: 10.11591/ijpeds.v9.i3.pp1178-1185