An Adaptive Sliding-Mode Observer for a Class of Uncertain Nonlinear Systems

Ríos, Héctor; Efimov, Denis; Perruquetti, Wilfrid

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1002/acs.2857

Title :

An Adaptive Sliding-Mode Observer for a Class of Uncertain Nonlinear Systems

Author(s) :

Ríos, Héctor [Auteur]
Instituto Tecnologico de la Laguna [ITL]
Efimov, Denis [Auteur]

Non-Asymptotic estimation for online systems [NON-A-POST]
Perruquetti, Wilfrid [Auteur]

Centrale Lille
Non-Asymptotic estimation for online systems [NON-A]

Journal title :

International Journal of Adaptive Control and Signal Processing

Pages :

511 - 527

Publisher :

Wiley

Publication date :

2018-03

ISSN :

0890-6327

English keyword(s) :

Adaptive observer
Sliding-modes
Nonlinear systems

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique

English abstract : [en]

In this paper the problem of simultaneous state and parameter estimation is studied for a class of uncertain nonlinear systems. A nonlinear adaptive sliding-mode observer is proposed based on a nonlinear parameter estimation ...
Show more >In this paper the problem of simultaneous state and parameter estimation is studied for a class of uncertain nonlinear systems. A nonlinear adaptive sliding-mode observer is proposed based on a nonlinear parameter estimation algorithm. It is shown that such a nonlinear algorithm provides a rate of convergence faster than exponential, i.e. faster than the classic linear algorithm. Then, the proposed parameter estimation algorithm is included in the structure of a sliding-mode state observer providing an ultimate bound for the full estimation error attenuating the effects of the external disturbances. Moreover, the synthesis of the observer is given in terms of linear matrix inequalities. The corresponding proofs of convergence are developed based on Lyapunov function approach and input-to-state stability theory. Some simulation results illustrate the efficiency of the proposed adaptive sliding-mode observer.Show less >

Language :

Anglais

Popular science :

Non

ANR Project :

Commande et estimation en temps fini pour les Systèmes de Systèmes

Collections :