DocumentCode :
646363
Title :
State estimation of unknown input fuzzy bilinear systems: Application to fault diagnosis
Author :
Saoudi, Dhikra ; Chadli, M. ; Braiek, Naceur Benhadj
Author_Institution :
LSA (Lab. of Adv. Syst.), Univ. of Carthage, La Marsa, Tunisia
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
2465
Lastpage :
2470
Abstract :
This article aims the observer synthesis for a class of nonlinear systems and affected by unknown inputs, represented under the multimodel bilinear formulation. Sufficient conditions to design an unknown input fuzzy bilinear observer are given in Linear Matrix Inequalities (LMIs) terms. The paper studies also the problem of fault detection and isolation. An unknown input fuzzy bilinear fault diagnosis observer design is proposed. Numerical example is given to illustrate the effectiveness of the given results.
Keywords :
fault diagnosis; fuzzy systems; linear matrix inequalities; numerical analysis; observers; LMI; fault detection-and-isolation; linear matrix inequalities; multimodel bilinear formulation; nonlinear systems; numerical analysis; observer synthesis; state estimation; sufficient conditions; unknown input fuzzy bilinear fault diagnosis observer design; unknown input fuzzy bilinear systems; Actuators; Equations; Fault diagnosis; Nonlinear systems; Observers; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669772
Link To Document :
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