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| Titre: | Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model |
| Auteur(s): | Youssef, T.
Chadli, M.
Karimi, H.R.
Wang, R. |
| Mots-clés: | TS fuzzy model
proportional integral observer
sensor faults estimation based |
| Date de publication: | 2016 |
| Editeur: | Elsevier |
| Collection/Numéro: | Journal of the Franklin Institute; |
| Résumé: | This paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi–Sugeno fuzzy model with unmeasurable premise variables. The faults are assumed as time-varying signals whose kth time derivatives are bounded. Using Lyapunov stability theory and L2 performance analysis, sufficient design conditions are developed for simultaneous estimation of states and time-varying actuator and sensor faults. The Proportional Integral observer gains are computed by solving the proposed conditions under Linear Matrix Inequalities constraints. A simulation example is provided to illustrate the effectiveness of the proposed approach |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/3177 |
| ISSN: | 0016-0032 |
| Collection(s) : | Publications Internationales
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