DocumentCode
1949535
Title
An unknown input fractional-order observer design for fractional-order glucose-insulin system
Author
N´Doye, Ibrahima ; Voos, Holger ; Darouach, Mohamed ; Schneider, J.G. ; Knauf, N.
Author_Institution
Fac. des Sci., de la Technol. et de la Commun., Univ. of Luxembourg, Luxembourg, Luxembourg
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
595
Lastpage
600
Abstract
In this paper, we introduce fractional-order derivatives into a generalized minimal model of glucose-insulin. A fractional-order state observer is designed for estimating the structure of a blood glucose-insulin with glucose rate disturbance to show the complete dynamics of the glucose-insulin system where the fractional-order α belonging to 0 <; α <; 1. A nonlinear fractional-order unknown input observer strategy is used where the glucose rate disturbance is considered as an unknown input to the perspective dynamical system. The developed method provides the observer estimation algorithm for a glucose-insulin system with unknown time-varying glucose rate disturbance. The stability analysis of the fractional-order error system is completed and showed that the fractional-order observer design is as stable as their integer order counterpart and guarantees the best convergence of the estimation error. Finally, numerical simulations are given to illustrate the effectiveness of the proposed method.
Keywords
diseases; haemodynamics; sugar; fractional order derivatives; fractional order error system; fractional order glucose-insulin system; observer estimation algorithm; stability analysis; time varying glucose rate disturbance; unknown input fractional order observer design; Fractional calculus; diabetes; fractional-order minimal model of glucose-insulin; glucose disturbance; numerical simulations; unknown input observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-1664-4
Type
conf
DOI
10.1109/IECBES.2012.6498048
Filename
6498048
Link To Document