DocumentCode :
3523697
Title :
Robust fault detection observer design for Takagi-Sugeno systems: A descriptor approach
Author :
Bouattour, M. ; Chadli, M. ; El Hajjaji, A. ; Chaabane, M.
fYear :
2010
fDate :
23-25 June 2010
Firstpage :
255
Lastpage :
260
Abstract :
In this paper, a robust fault detection observer is designed for a class of nonlinear systems described by T-S (Takagi-Sugeno) fuzzy model with sensor faults and unknown bounded disturbances. The method uses the technique of descriptor systems by considering sensor faults as an auxiliary state variables. The basic idea of our study is to formulate the robust fault detection observer design as a H-/H problem. A solution of the considered problem is then given via a Linear Matrix Inequality (LMI) formulation. The considered robust fault detection observer design problem is solved with a given sufficient conditions based on an iterative LMI procedure.
Keywords :
H optimisation; fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; robust control; H-/H problem; Takagi-Sugeno fuzzy systems; descriptor systems; linear matrix inequality; nonlinear systems; robust fault detection observer design; sensor faults; unknown bounded disturbances; Fault detection; Linear matrix inequalities; Modeling; Observers; Robustness; Sensitivity; Symmetric matrices; H-; H; LMI; T-S fuzzy models; descriptor observer; disturbance; fault detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2010 18th Mediterranean Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-8091-3
Type :
conf
DOI :
10.1109/MED.2010.5547677
Filename :
5547677
Link To Document :
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