DocumentCode :
2671878
Title :
Robust fault detection for multiple packets transmission networked systems with Markovian jump model
Author :
Zhang, Yong ; Liu, Zhenxing ; Zhang, Liangli
Author_Institution :
Sch. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
2484
Lastpage :
2489
Abstract :
In this paper, robust fault detection problem for uncertain multiple packets transmission networked systems (NSs) is investigated, and a novel Markovian jump system model is proposed to describe the data transmission pattern. Based on the obtained model, by employing mode-dependent fault detection filter as residual generator, the addressed fault detection problem is converted into H filtering problem. Then, with the help of stochastic Lyapunov function approach, the sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities, which depend on not only the transmission matrix but also on the Markov chains. The effectiveness of the proposed method is demonstrated by simulation example..
Keywords :
H filters; Lyapunov methods; Markov processes; data communication; fault diagnosis; linear matrix inequalities; networked control systems; stochastic processes; H filtering problem; Markov chains; Markovian jump system model; addressed fault detection problem; data transmission pattern; linear matrix inequalities; mode-dependent fault detection filter; residual generator; robust fault detection; stochastic Lyapunov function approach; transmission matrix; uncertain multiple packets transmission networked systems; Attenuation; Fault detection; Filtering; Linear matrix inequalities; Markov processes; Robustness; Fault detection; Markovian jump systems; Multiple packets transmission; Networked control systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6244396
Filename :
6244396
Link To Document :
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