Extended output depending normal form
Document type :
Article dans une revue scientifique: Article original
Title :
Extended output depending normal form
Author(s) :
Tami, Ramdane [Auteur]
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique [2008-2013] [PRISME]
Boutat, Driss [Auteur]
Zheng, Gang [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique [2008-2013] [PRISME]
Boutat, Driss [Auteur]
Zheng, Gang [Auteur]

Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Journal title :
Automatica
49
49
Pages :
2192-2198
Publisher :
Elsevier
Publication date :
2013-04-23
ISSN :
0005-1098
English keyword(s) :
Extended Normal Form
Nonlinear system
Observer
Epidemic model
Nonlinear system
Observer
Epidemic model
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
This paper concerns the design of a nonlinear observer through a transformation of a nonlinear system into an observer form that supports a high gain observer. Sufficient geometrical condition is deduced to guarantee the ...
Show more >This paper concerns the design of a nonlinear observer through a transformation of a nonlinear system into an observer form that supports a high gain observer. Sufficient geometrical condition is deduced to guarantee the existence of change of coordinates allowing the transformation of a nonlinear system into the proposed normal form. The result is highlighted by studying the Susceptible Exposed Infected and Recovered (SEIR) model.Show less >
Show more >This paper concerns the design of a nonlinear observer through a transformation of a nonlinear system into an observer form that supports a high gain observer. Sufficient geometrical condition is deduced to guarantee the existence of change of coordinates allowing the transformation of a nonlinear system into the proposed normal form. The result is highlighted by studying the Susceptible Exposed Infected and Recovered (SEIR) model.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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