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Optimization of fault detection performance for a class of nonlinear systems
Author(s) -
Efimov Denis,
Zolghadri Ali
Publication year - 2011
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1802
Subject(s) - control theory (sociology) , nonlinear system , robustness (evolution) , fault detection and isolation , parametric statistics , monotonic function , computer science , observer (physics) , control engineering , servo , mathematical optimization , engineering , control (management) , mathematics , artificial intelligence , actuator , mathematical analysis , biochemistry , chemistry , physics , statistics , quantum mechanics , gene
SUMMARY The problem of observer design for fault detection in a class of nonlinear systems subject to parametric and signal uncertainties is studied. The design procedure includes formalized optimization of observer‐free parameters in terms of trade‐offs for fault detection performance and robustness to external disturbances and model uncertainties. The technique makes use of some monotonicity conditions imposed on the estimation error dynamics. Efficiency of the proposed approach is demonstrated through the oscillatory failure case in aircraft control surface servo‐loops. Copyright © 2011 John Wiley & Sons, Ltd.