Different types of nonlinear sliding mode technique for nonlinear uncertain type 1 diabetes model

In this paper, the robust controller is designed based on different types of sliding mode techniques for the nonlinear model of Bergman insulin-glucose regulation of type 1 diabetes. It is assumed that the nonlinear model includes unknown uncertainties. The convergence of patient person states to the healthy guy ones is the main purpose of the presented designing procedures. The stability of the closed-loop system, the robustness of suggested schemes, and the convergence of tracking error to zero in finite time are the main advantages of the suggested method. The reduction of chattering phenomena is guaranteed in this approach. The proposed methods depict the promising performance of the derived controllers in the injected rate of insulin in diabetes diseases. The simulation results illustrate the promising performance of the planned policy. Also, the sliding mode techniques are compared with the others to show the best-proposed design.