DocumentCode
3443583
Title
Data projection method for sensor Fault Detection and Isolation on nonlinear systems based on Takagi Sugeno model
Author
Zouari, T. ; Pekpe, K.M. ; Cocquempot, V. ; Ksouri, Moufida
Author_Institution
LAGIS, Lille 1 Univ., Villeneuve d´´Ascq, France
fYear
2011
fDate
12-15 Dec. 2011
Firstpage
109
Lastpage
114
Abstract
Robust sensor Fault Detection and Isolation for nonlinear system using partial knowledge of the system is proposed in the paper. First, a suitable Takagi-Sugeno model for uncertain nonlinear system is determined using sector nonlinear method. Then the matrix input-output relation is given and the robust FDI residual is computed by projecting the relation onto the Kernel of the predetermined matrix.
Keywords
fault diagnosis; fuzzy set theory; matrix algebra; nonlinear systems; sensors; Takagi Sugeno model; data projection method; matrix input-output relation; matrix kernel; sector nonlinear method; sensor fault detection; sensor fault isolation; uncertain nonlinear system; Computational modeling; Equations; Fault detection; Mathematical model; Nonlinear systems; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location
Orlando, FL
ISSN
0743-1546
Print_ISBN
978-1-61284-800-6
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2011.6161326
Filename
6161326
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