A T-S Fuzzy Model-Based Algorithm for Blood Glucose Control in Diabetic Patients

This paper is concerned with fuzzy model-based blood glucose control problem for diabetes patients. The glucose metabolism model used in this paper is expressed in the Takagi-Sugeno (T-S) form obtained by sector nonlinearity approach. Two different rates of basal exogenous insulin are considered to analysis and design T-S fuzzy controllers. It is shown that conditions for the solvability of the blood glucose controller design given here are written in the form of linear matrix inequality (LMI) which can be efficiently solved by convex optimization techniques. One simulation example is given to demonstrate the validity of the proposed approach.