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Automatic Blood Glucose Levels in Diabetic Patients Using an Intelligent Fuzzy Controller
Abstract
Some diseases of the body is unable to control one or more critical parameters arises. High percentage of these diseases are not curable. Thus, a system designed for accurate and stable vital parameters, to control these diseases incurable, is of great importance. One of the vital parameters, blood glucose levels in people with diabetes is. This algorithm is a special case of supertwist control high order sliding mode fuzzy logic control and intelligent control algorithms for the efficient and stable blood glucose levels in diabetic patients is used. Performance simulation results for both are effective in controlling blood glucose levels stable in the presence of abrupt changes in model parameters and model has been shown.
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References
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