Design of a sliding mode fuzzy observer for uncertain Takagi-Sugeno fuzzy model: application to automatic steering of vehicle - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Vehicle Autonomous Systems Année : 2007

Design of a sliding mode fuzzy observer for uncertain Takagi-Sugeno fuzzy model: application to automatic steering of vehicle

Résumé

This paper addresses the analysis and design of a Sliding Mode Fuzzy Observer (SMFO) on the basis of a Takagi-Sugeno (T-S) fuzzy model. The main contribution of the paper is the development of a robust fuzzy observer with respect to the uncertainties as well as the synthesis of sufficient stability conditions of this observer. The stabilisation of the fuzzy observer is performed by the search of suitable Lyapunov matrices. It is shown how to determine the gains of the local observers, these gains being solutions of a set of Linear Matrix Inequalities (LMIs). The validity of the proposed methodology is illustrated by an estimation of the yaw rate of automatic steering of vehicles.
Fichier non déposé

Dates et versions

hal-00155269 , version 1 (16-06-2007)

Identifiants

Citer

Abdelkader Akhenak, Mohammed Chadli, Didier Maquin, José Ragot. Design of a sliding mode fuzzy observer for uncertain Takagi-Sugeno fuzzy model: application to automatic steering of vehicle. International Journal of Vehicle Autonomous Systems, 2007, 5 (3/4), pp.288-305. ⟨10.1504/IJVAS.2007.016405⟩. ⟨hal-00155269⟩
125 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More