DocumentCode :
2002585
Title :
Robust Fault Detection for Descriptor Markovian Jump Systems
Author :
Xiao, Nan ; Gao, Zhiwei
Author_Institution :
Tianjin Univ., Tianjin
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
835
Lastpage :
840
Abstract :
This paper deals with the problem of observer-based robust fault detection for continuous-time descriptor Markovian jump linear systems with unknown input. The fault detection filter is designed such that the residual signal is sensitive to the fault but robust to the unknown input. A sufficient condition to the existence of the desired robust fault detection filter is obtained based on a generalized bounded real lemma(GBRL) and a corresponding proposition for singular Markovian jump systems. The algorithm for residual evaluation function and threshold computation is also given. Finally, a numerical example is presented to illustrate the applicability and effectiveness of the proposed techniques.
Keywords :
Markov processes; continuous time systems; fault diagnosis; filtering theory; linear systems; matrix algebra; robust control; continuous-time systems; descriptor Markovian jump systems; fault detection filter; generalized bounded real lemma; linear systems; observer-based robust fault detection; residual evaluation function; residual signal; threshold computation; Automatic control; Automation; Control systems; Electrical fault detection; Fault detection; Filters; Linear systems; Robust control; Robustness; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376474
Filename :
4376474
Link To Document :
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