DocumentCode :
3038839
Title :
Filter design for discrete-time Markovian jump singular systems with its application to fault detection
Author :
Yao, Xiuming ; Feng, Yaowen ; Wu, Ligang ; Zheng, Wei Xing
Author_Institution :
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
fYear :
2010
fDate :
8-10 June 2010
Firstpage :
321
Lastpage :
326
Abstract :
This paper is concerned with the problem of fault detection for discrete-time Markovian jump singular systems with intermittent measurements. The measurements 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 stochastic Markovian jump admissible and satisfies some scheduled performance. A new necessary and sufficient condition for a class of discrete-time Markovian jump singular systems to be stochastic Markovian jump admissible is proposed in the form of strict linear matrix inequalities (LMIs). Sufficient conditions are proposed for the existence of fault detection filter. Finally, a numerical example is provided to illustrate the usefulness and applicability of the developed theoretical results.
Keywords :
Markov processes; discrete time systems; filtering theory; linear matrix inequalities; stochastic systems; data missing; discrete-time Markovian jump singular system; fault detection filter; filter design; intermittent measurement; linear matrix inequalities; residual system; stochastic variable; Artificial neural networks; Educational institutions; Junctions; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6043-4
Electronic_ISBN :
978-1-4244-7505-6
Type :
conf
DOI :
10.1109/ISSCAA.2010.5632895
Filename :
5632895
Link To Document :
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