DocumentCode :
582476
Title :
On designing fault detection filter for discrete-time nonlinear Markovian jump systems with missing measurements
Author :
Yueyang, Li ; Maiying, Zhong ; Shuai, Yuan
Author_Institution :
Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
5384
Lastpage :
5389
Abstract :
This paper deals with the problem of fault detection filter (FDF) design for a class of discrete-time nonlinear Markovian jump systems with missing measurements. The nonlinearity is assumed to satisfy global Lipschitz conditions. An observer-based FDF is employed as a residual generator, and then the problem is formulated into a stochastic H filtering frame. Sufficient existence conditions of the H-FDF are given in terms of matrix inequalities for two cases. One is the complete known transition probabilities case while the other is the partially known transition probabilities case. Moreover, the solutions to the parameter matrices are obtained by solving a set of linear matrix inequalities (LMIs). A numerical example is provided to demonstrate the effectiveness of the proposed approach.
Keywords :
H filters; Markov processes; control nonlinearities; discrete time systems; fault diagnosis; filtering theory; linear matrix inequalities; nonlinear control systems; observers; stochastic systems; H-FDF; discrete-time nonlinear Markovian jump systems; fault detection filter design; global Lipschitz conditions; linear matrix inequalities; missing measurements; nonlinearity; observer-based FDF; parameter matrices; residual generator; stochastic H filtering frame; transition probabilities; Educational institutions; Fault detection; Filtering; Linear matrix inequalities; Nickel; Observers; Stochastic processes; Fault detection filter; Markovian jump system; Missing measurements; Nonlinear;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6390879
Link To Document :
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