Robust type-2 Fuzzy Control for Glucose-Level Regulation in Type-I Diabetic Patients

In this paper, a Fractional Adaptive Fuzzy Controller is designed for controlling blood glucose levels in Type-I diabetic patients. Type 1 diabetes is a chronic disease. In people with type 1 diabetes, the pancreatic cells that make insulin are destroyed, and the body is unable to make insulin. Unlike previous works, the system dynamics is considered as undetermined and in the presence of noise. System dynamics is estimated using the type-2 fuzzy system to eliminate the estimation error through compensation. The adaptive rules for control signal parameters and fuzzy system parameters are determined using Lyapunov stability analysis. A modified Bergman model for a diabetic patient with different conditions is used for evaluating the performance of the proposed controller. Also in addition to the uncertainty of glucose-insulin dynamic, the effect of patient activity and disturbance in terms of lifestyle and type of food consumed is considered, The simulation results show that the proposed controller has very well performance.