Title : ( Diabetic Control Using Genetic Fuzzy-PI Controller )
Authors: Masoud Goharimanesh , Ali Lashkaripour , Shadi Shariatnia , Ali Akbar Akbari ,
Full TextAbstract
This paper deals with diabetes type 1 as a nonlinear model, which has been simulated in MATLAB-SIMULINK environment by the means of Gap Metric method. A proportional controller turns three independent linear integrals into this nonlinear model.To enhance the system performance, a Fuzzy algorithm independent coefficient has been implemented.In this study, Genetic Algorithm amends the controller by improving fuzzy membership functions. Finally, the control method tuned by standard tuning procedure and the optimized form of it are compared.
Keywords
, Fuzzy, PID, gap metric, genetic algorithm, diabetes
@article{paperid:1042685,
author = {Goharimanesh, Masoud and Lashkaripour, Ali and Shariatnia, Shadi and Akbari, Ali Akbar},
title = {Diabetic Control Using Genetic Fuzzy-PI Controller},
journal = {International Journal of Fuzzy Systems},
year = {2014},
volume = {16},
number = {2},
month = {June},
issn = {1562-2479},
pages = {133--139},
numpages = {6},
keywords = {Fuzzy; PID; gap metric; genetic algorithm; diabetes},
}
%0 Journal Article
%T Diabetic Control Using Genetic Fuzzy-PI Controller
%A Goharimanesh, Masoud
%A Lashkaripour, Ali
%A Shariatnia, Shadi
%A Akbari, Ali Akbar
%J International Journal of Fuzzy Systems
%@ 1562-2479
%D 2014
