Contrôle intelligent d’un pancréas artificiel

Abstract

This thesis proposes different control strategies for the closed-loop artificial pancreas, which are based on: • Synthesis and analysis of two glucose control techniques H∞, µ synthesis . • A review of two of the main robust control techniques namely: Sliding Mode, and Synergetic Control. • Terminal Synergetic control used to enhance closed loop dynamics where a new adaptation method integrating synergetic control to estimate the uncertainties and the parametric variations of the system. • Introduction of a new method of designing an intelligent stabilizer, combining fuzzy logic adaptation and synergetic control. • An ANFIS design used to model and improve the performance of our controller. The different types of controls are tested on the Bergman model of DT1, and a comparative study between these commands is included in this thesis.