Robust Fault Detection for Switched Systems based on Interval Observers

This paper deals with fault detection (FD) for a class of discrete-time switched systems with sensor faults. Under the assumption that disturbances and measurement noise are unknown but bounded, two methods, respectively based on the H_{\infty} and the L_{\infty} formalisms, are introduced to attenu...

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Bibliographic Details
Main Authors: Zammali, Chaima, Van Gorp, Jeremy, Raissi, Tarek
Format: Conference Proceeding
Language:English
Subjects:
Linear matrix inequalities
Noise measurement
Observers
Switched systems
Switches
Symmetric matrices
Uncertainty
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Summary:This paper deals with fault detection (FD) for a class of discrete-time switched systems with sensor faults. Under the assumption that disturbances and measurement noise are unknown but bounded, two methods, respectively based on the H_{\infty} and the L_{\infty} formalisms, are introduced to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. The design conditions of the interval observer are given in terms of Linear Matrix Inequalities (LMIs). Furthermore, a FD decision is developed to indicate the presence of faults. A numerical example is performed to illustrate the effectiveness of the proposed method based on the L_{\infty} performance through a comparison with the results obtained using the H_{\infty} analysis.
ISSN:2473-3504
DOI:10.1109/MED48518.2020.9182907