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Fault detection for linear stochastic systems with sensor stuck faults
Author(s) -
Li XiaoJian,
Yang GuangHong
Publication year - 2011
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.979
Subject(s) - fault (geology) , fault detection and isolation , computer science , control theory (sociology) , sensitivity (control systems) , regular polygon , stochastic process , stochastic modelling , sense (electronics) , mathematics , engineering , control (management) , actuator , electronic engineering , statistics , artificial intelligence , seismology , geology , electrical engineering , geometry
SUMMARY This paperaddresses the fault detection (FD) problem for Itô‐type linear stochastic systems with a class of sensor stuck faults and reference inputs. Considering all the possible sensor stuck faults, the stochastic systems are modeled via multi‐models, i.e. fault‐free model and faulty models. The main contributions are that a novel FD scheme in stochastic setting is proposed that is valid for arbitrary small sensor stuck faults including outage cases (the stuck values are zero). In addition, convex conditions for characterizing fault sensitivity performance and disturbance attenuation performance in stochastic sense are presented and these conditions include some previous results on deterministic systems as a special case. Finally, two examples are used to demonstrate the method and its effectiveness. Copyright © 2011 John Wiley & Sons, Ltd.