Design a Fuzzy Logic Controller for an Artificial Pancreas System

Design a complex fuzzy logic controller by combining two smaller interconnected fuzzy systems in a fuzzy tree. In this example, design an artificial pancreas nonlinear control system in Simulink^® using fuzzy logic.

Automatically tune the membership function parameters and rules of a fuzzy inference system. Use Simulink to model the fuzzy logic controller, insulin pump, glucose production from a meal, and blood glucose changes in the patient. Validate the fuzzy logic controller by simulating various meal scenarios. Deploy the fuzzy logic controller by automatically generating C/C++ code.