DocumentCode :
1492067
Title :
Fault Detection Filter Design for Markovian Jump Singular Systems With Intermittent Measurements
Author :
Yao, Xiuming ; Wu, Ligang ; Zheng, Wei Xing
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Volume :
59
Issue :
7
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
3099
Lastpage :
3109
Abstract :
This paper addresses the problem of fault detection filter design for discrete-time Markovian jump singular systems with intermittent measurements. The measurement transmission from the plant to the fault detection filter is assumed to be imperfect and a stochastic variable is utilized to model the phenomenon of data missing. Our attention is focused on the design of a fault detection filter such that the residual system is stochastically Markovian jump admissible and satisfies some expected performances. A new necessary and sufficient condition for a class of discrete-time Markovian jump singular systems to be stochastically Markovian jump admissible is proposed in the form of strict linear matrix inequalities. Sufficient conditions are established for the existence of the fault detection filter. Finally, a numerical example is provided to demonstrate the usefulness and applicability of the developed theoretical results.
Keywords :
Markov processes; fault diagnosis; filtering theory; linear matrix inequalities; discrete-time Markovian jump singular systems; fault detection filter design; intermittent measurements; linear matrix inequalities; Bismuth; Electronic mail; Fault detection; Linear matrix inequalities; Power system dynamics; Silicon; Symmetric matrices; Fault detection; Markovian jump singular systems; intermittent measurements; stochastic parameter-varying systems; stochastically Markovian jump admissible;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2011.2141666
Filename :
5746656
Link To Document :
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