Observer synthesis under time-varying ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Observer synthesis under time-varying sampling for Lipschitz nonlinear systems
Author(s) :
Etienne, Lucien [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Hetel, Laurentiu [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Petreczky, Mihaly [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Hetel, Laurentiu [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Petreczky, Mihaly [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Journal title :
Automatica
Pages :
433-440
Publisher :
Elsevier
Publication date :
2017
ISSN :
0005-1098
English keyword(s) :
Continuous–discrete observers
Nonlinear systems
Hybrid systems
Impulsive observer
Continuous-discrete observers
Nonlinear systems
Hybrid systems
Impulsive observer
Continuous-discrete observers
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
In this work, the problem of observation of continuous-time nonlinear Lipschitz systems under time-varying discrete measurements is considered. This class of systems naturally occurs when continuous processes are observed ...
Show more >In this work, the problem of observation of continuous-time nonlinear Lipschitz systems under time-varying discrete measurements is considered. This class of systems naturally occurs when continuous processes are observed through digital sensors and information is sent via a network to a computer for state estimation. Since the network introduces variations in the sampling time, the observer must be designed so that it takes them into account. Here impulsive observers, which make instantaneous correction when information is received, are investigated. Moreover, we consider time-varying observer gains adapting to the varying sampling interval. In order to deal with both continuous-time and discrete-time dynamics, a new hybrid model is used to state the problem and establish the convergence of the proposed observer. First, generic conditions are provided using a hybrid Lyapunov function. Then, a restriction of the generic Lyapunov function is used to establish tractable conditions that allows the analysis and synthesis of an impulsive gain.Show less >
Show more >In this work, the problem of observation of continuous-time nonlinear Lipschitz systems under time-varying discrete measurements is considered. This class of systems naturally occurs when continuous processes are observed through digital sensors and information is sent via a network to a computer for state estimation. Since the network introduces variations in the sampling time, the observer must be designed so that it takes them into account. Here impulsive observers, which make instantaneous correction when information is received, are investigated. Moreover, we consider time-varying observer gains adapting to the varying sampling interval. In order to deal with both continuous-time and discrete-time dynamics, a new hybrid model is used to state the problem and establish the convergence of the proposed observer. First, generic conditions are provided using a hybrid Lyapunov function. Then, a restriction of the generic Lyapunov function is used to establish tractable conditions that allows the analysis and synthesis of an impulsive gain.Show less >
Language :
Anglais
Popular science :
Non
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