Robust stop-and-go control strategy: an algebraic approach for nonlinear estimation and control

Abstract : This paper describes a robust stop-and-go control strategy for vehicles. Since sensors used in a real automotive context are generally low cost, measurements are quite noisy. Furthermore, many vehicle/road interaction factors (road slope, rolling resistance, aerodynamic forces) are very poorly known. Hence, a robust strategy to noise and parameters is proposed within the same theoretical framework: algebraic nonlinear estimation and control techniques. On the one hand, noisy signals will be processed in order to obtain accurate derivatives, and thereafter, variable estimates. On the other hand, a grey-box closedloop control will be implemented to reject all kind of disturbances caused by exogenous parameter uncertainties.
Liste complète des métadonnées

Littérature citée [31 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00419445
Contributeur : Michel Fliess <>
Soumis le : vendredi 25 septembre 2009 - 15:42:51
Dernière modification le : jeudi 10 mai 2018 - 02:06:41
Document(s) archivé(s) le : mercredi 22 septembre 2010 - 13:33:13

Fichiers

IJVAS.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Jorge Villagra, Brigitte D'Andréa-Novel, Sungwoo Choi, Michel Fliess, Hugues Mounier. Robust stop-and-go control strategy: an algebraic approach for nonlinear estimation and control. Int. J. Vehicle Autonomous Systems, Inderscience Publishers, 2009, 7 (3/4), pp.270-291. 〈10.1504/IJVAS.2009.033264〉. 〈inria-00419445v2〉

Partager

Métriques

Consultations de la notice

913

Téléchargements de fichiers

426