Discrete Sliding-Mode-Based Differentiators
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
Discrete Sliding-Mode-Based Differentiators
Auteur(s) :
Barbot, Jean-Pierre [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire QUARTZ [QUARTZ ]
Levant, Arie [Auteur]
Livine, Miki [Auteur]
Lunz, Davin [Auteur]
University of Oxford
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire QUARTZ [QUARTZ ]
Levant, Arie [Auteur]
Livine, Miki [Auteur]
Lunz, Davin [Auteur]
University of Oxford
Titre de la manifestation scientifique :
The 14th International Workshop on Variable Structure Systems (VSS 2016)
Ville :
Nanjing, Jiangsu
Pays :
Chine
Date de début de la manifestation scientifique :
2016-06-01
Date de publication :
2016-06-02
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
Sliding-mode-based differentiators of the input f(t) of the order k yield exact estimations of the derivatives f(1), … f(k), provided an upper bound of |f(k+1)(t)| is available in real time.Practical application involves ...
Lire la suite >Sliding-mode-based differentiators of the input f(t) of the order k yield exact estimations of the derivatives f(1), … f(k), provided an upper bound of |f(k+1)(t)| is available in real time.Practical application involves discrete noisy sampling of f and numeric integration of the internal variables between the measurements. The corresponding asymptotic differentiation accuracies are calculated in the presence of Euler integration and discrete sampling, whereas both independently feature variable or constant time steps. Proposed discrete differentiators restore the optimal accuracy of their continuous-time counterparts.Simulation confirms the presented results.Lire moins >
Lire la suite >Sliding-mode-based differentiators of the input f(t) of the order k yield exact estimations of the derivatives f(1), … f(k), provided an upper bound of |f(k+1)(t)| is available in real time.Practical application involves discrete noisy sampling of f and numeric integration of the internal variables between the measurements. The corresponding asymptotic differentiation accuracies are calculated in the presence of Euler integration and discrete sampling, whereas both independently feature variable or constant time steps. Proposed discrete differentiators restore the optimal accuracy of their continuous-time counterparts.Simulation confirms the presented results.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :