Artificial Pancreas Control Using Fuzzy Logic

Design an artificial pancreas nonlinear control system in Simulink® using fuzzy logic. Design a complex fuzzy logic controller by combining two smaller interconnected fuzzy systems in a fuzzy tree. Automatically tune the membership function parameters and rules of a fuzzy inference system. Model the fuzzy logic controller, insulin pump, glucose production from a meal, and blood glucose changes in the patient in Simulink. Validate the fuzzy logic controller by simulating various meal scenarios. Deploy the fuzzy logic controller by automatically generating C/C++ code.