Interval estimation of sequestered infected ...
Document type :
Communication dans un congrès avec actes
Title :
Interval estimation of sequestered infected erythrocytes in malaria patients
Author(s) :
Degue, Kwassi [Auteur]
Départment de Génie Electrique [Montreal]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Iggidr, Abderrahman [Auteur]
Institut Élie Cartan de Lorraine [IECL]
Inria Nancy - Grand Est
Départment de Génie Electrique [Montreal]
Efimov, Denis [Auteur]

Non-Asymptotic estimation for online systems [NON-A]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Iggidr, Abderrahman [Auteur]
Institut Élie Cartan de Lorraine [IECL]
Inria Nancy - Grand Est
Conference title :
European Control Conference (ECC16)
City :
Aalborg
Country :
Danemark
Start date of the conference :
2016-06-29
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
The problem of estimation of sequestered parasites Plasmodium falciparum in malaria, based on measurements of circulating parasites, is addressed. It is assumed that all (death, transition, recruitment and infection) rates ...
Show more >The problem of estimation of sequestered parasites Plasmodium falciparum in malaria, based on measurements of circulating parasites, is addressed. It is assumed that all (death, transition, recruitment and infection) rates in the model of a patient are uncertain (just intervals of admissible values are given) and the measurements are subject to a bounded noise, then an interval observer is designed. Stability of the observer can be verified by a solution of LMI. The efficiency of the observer is demonstrated in simulation.Show less >
Show more >The problem of estimation of sequestered parasites Plasmodium falciparum in malaria, based on measurements of circulating parasites, is addressed. It is assumed that all (death, transition, recruitment and infection) rates in the model of a patient are uncertain (just intervals of admissible values are given) and the measurements are subject to a bounded noise, then an interval observer is designed. Stability of the observer can be verified by a solution of LMI. The efficiency of the observer is demonstrated in simulation.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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