DocumentCode
702031
Title
Multiobjective design of fault detection filters
Author
Ding, S.X. ; Zhang, P. ; Ding, E.L. ; Frank, P.M. ; Sader, M.
Author_Institution
Institute for Automatic Control and Complex systems University of Duisburg-Essen, Bismarckstrasse 81 BB, 47048 Duisburg, Germany
fYear
2003
fDate
1-4 Sept. 2003
Firstpage
1357
Lastpage
1362
Abstract
In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual evaluation functions, the i?2-norm and the peak amplitude of the residual signals. The background of this study is the fault detection strategy of using multi-residual evaluation functions, which is widely adopted in practice. Based on the above-mentioned two residual evaluation functions, different design schemes for FDF are formulated as multiobjective optimization problems, which are then solved using the well-established LMI-technique.
Keywords
Energy states; Fault detection; Generators; Optimization; Robustness; Symmetric matrices; Yttrium; Fault detection; Multiobjective optimization; Observer based approach; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
European Control Conference (ECC), 2003
Conference_Location
Cambridge, UK
Print_ISBN
978-3-9524173-7-9
Type
conf
Filename
7085150
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