DocumentCode :
2177679
Title :
A new multi-objective filter design for guaranteed robust FDI performance
Author :
Henry, D. ; Zolghadri, A. ; Castang, F. ; Monsion, M.
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
173
Abstract :
Synthesis techniques for the design of fault detection filters are developed. The approach provides techniques for designing filters that maximize sensitivity, in some sense, to the effects of additive faults on the residual signal, while guaranteeing the robustness to noise, disturbances and modeling errors. The design procedure is iterative and involves linear matrix inequality optimization techniques and generalized structured singular values
Keywords :
estimation theory; fault diagnosis; filtering theory; iterative methods; matrix algebra; pole assignment; uncertain systems; fault detection and isolation; fault detection filters; generalized structured singular values; guaranteed robust FDI performance; linear matrix inequality optimization techniques; multi-objective filter; synthesis techniques; Additive noise; Automatic control; Design optimization; Fault detection; Filters; Frequency; Linear matrix inequalities; Robustness; Signal design; Signal synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
Type :
conf
DOI :
10.1109/.2001.980093
Filename :
980093
Link To Document :
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