Open AccessArtificial pancreas techniques based on robust model predictive controller
Author(s) -
Waleed Khalid AlAzzawi
Publication year - 2019
Publication title -
international journal of robotics and automation (ijra)/iaes international journal of robotics and automation
Language(s) - English
Resource type - Journals
eISSN - 2722-2586
pISSN - 2089-4856
DOI - 10.11591/ijra.v8i3.pp189-193
Subject(s) - artificial pancreas , robustness (evolution) , control theory (sociology) , model predictive control , computer science , pancreas , diabetes mellitus , medicine , artificial intelligence , control (management) , endocrinology , type 1 diabetes , biology , biochemistry , gene
Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and cardiovascular diseases as well. In this paper, a Robust Model Predictive Controller (RMPC) is introduced to design artificial pancreas that solved the model uncertainty and keep the blood glucose level in the normal range by regulating the size of insulin infusion from pump based on RMPC. The simulation results will present a good performance of the proposed controller to avoid disturbance and robustness against uncertainties.