DocumentCode
397534
Title
An LMI approach to worst case analysis for fault detection observers
Author
Liu, Jian ; Wang, Jian Liang ; Yang, Guang-hong
Author_Institution
Honeywell Avionics Inc., Singapore, Singapore
Volume
4
fYear
2003
fDate
4-6 June 2003
Firstpage
2985
Abstract
This paper systematically formulates the worst-case fault sensitivity analysis problem for fault detection observers. The lowest level of a fault detector´s fault sensitivity is defined as an H_ index. A full characterization of the H_ index is given in terms of matrix equalities and inequalities as a dual of the bounded real lemma. Necessary and sufficient conditions are given to find a lower bound of H_ index, which can be calculated efficiently by linear matrix inequality (LMI) solvers. In addition, the analysis problem with respect to a finite frequency band is also solved by adding weighting filters, which is very useful for strictly proper systems. The necessary and sufficient conditions for input observability are also given, which is necessary condition for a fault detection observer to have a nonzero worst-case fault sensitivity. The effectiveness of the proposed approaches is shown by numerical exampled.
Keywords
fault diagnosis; linear matrix inequalities; observers; sensitivity analysis; LMI approach; bounded real lemma; fault detection observers; fault sensitivity analysis; finite frequency band; linear matrix inequalities; matrix equalities; weighting filters; worst case analysis; Computer aided software engineering; Fault detection; Filters; Frequency; Linear matrix inequalities; Noise robustness; Observability; Sensitivity analysis; Sufficient conditions; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2003. Proceedings of the 2003
ISSN
0743-1619
Print_ISBN
0-7803-7896-2
Type
conf
DOI
10.1109/ACC.2003.1243779
Filename
1243779
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