Title :
Robust H∞ fault detection for fuzzy bilinear systems via unknown input observer
Author :
Saoudi, Dhikra ; Chadli, M. ; Benhadj Braeik, N.
Author_Institution :
LSA (Lab. of Adv. Syst.), Univ. of Carthage, La Marsa, Tunisia
Abstract :
In this paper, a new method to design a fault diagnosis based on a Fuzzy Bilinear Observer (FBO) for nonlinear systems is proposed. The nonlinear system is modeled as a Fuzzy Bilinear Model (FBM). Sufficient conditions are established in order to maximize the fault sensitivity and perturbation robustness of the residual generator. These conditions are given in Linear Matrix Inequality (LMI) terms. A numerical example is given to illustrate the effectiveness of the given results.
Keywords :
H∞ control; bilinear systems; fault diagnosis; fuzzy systems; linear matrix inequalities; observers; optimisation; perturbation techniques; robust control; FBM; FBO; LMI; fault diagnosis; fuzzy bilinear model; fuzzy bilinear observer; fuzzy bilinear systems; linear matrix inequality; nonlinear systems; residual generator fault sensitivity maximization; residual generator perturbation robustness maximization; robust H∞ fault detection; sufficient conditions; unknown input observer; Fault diagnosis; Generators; Nonlinear systems; Observers; Robustness; Sensitivity; Vectors;
Conference_Titel :
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location :
Palermo
Print_ISBN :
978-1-4799-5900-6
DOI :
10.1109/MED.2014.6961384
