Laguerre-domain Modeling and Identification ...
Type de document :
Communication dans un congrès avec actes
Titre :
Laguerre-domain Modeling and Identification of Linear Discrete-time Delay Systems
Auteur(s) :
Bro, Viktor [Auteur]
Department of Information Technology [DIT-UPPSALA]
Medvedev, Alexander [Auteur]
Department of Information Technology [DIT-UPPSALA]
Ushirobira, Rosane [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Department of Information Technology [DIT-UPPSALA]
Medvedev, Alexander [Auteur]
Department of Information Technology [DIT-UPPSALA]
Ushirobira, Rosane [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Titre de la manifestation scientifique :
IFAC 2020 - 21st IFAC World Congress
Ville :
Berlin
Pays :
Allemagne
Date de début de la manifestation scientifique :
2020-07
Mot(s)-clé(s) en anglais :
Linear systems
discrete systems
time delay
system identification
Laguerre functions
discrete systems
time delay
system identification
Laguerre functions
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
A closed-form Laguerre-domain representation of discrete linear time-invariant systems with constant input time delay is derived. It is shown to be useful in a l 2 → l 2 system identification setup (with l 2 denoting ...
Lire la suite >A closed-form Laguerre-domain representation of discrete linear time-invariant systems with constant input time delay is derived. It is shown to be useful in a l 2 → l 2 system identification setup (with l 2 denoting square-summables signals) often arising in biomedical applications, where the experimental protocol does not allow for persistent excitation of the system dynamics. The utility of the proposed system representation is demonstrated on a problem of drug kinetics estimation from clinical data.Lire moins >
Lire la suite >A closed-form Laguerre-domain representation of discrete linear time-invariant systems with constant input time delay is derived. It is shown to be useful in a l 2 → l 2 system identification setup (with l 2 denoting square-summables signals) often arising in biomedical applications, where the experimental protocol does not allow for persistent excitation of the system dynamics. The utility of the proposed system representation is demonstrated on a problem of drug kinetics estimation from clinical data.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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