Fault diagnosis for singular stochastic systems |
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Authors: | Zhuo-huan Hu Zheng-zhi Han Zuo-hua Tian |
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Institution: | (1) Research Institute of Automation Southeast University, Nanjing, China;(2) The School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing, 100083, China;(3) Department of Electrical Engineering and Electronics, UMIST, PO Box 88, M60 1QD Manchester, UK |
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Abstract: | This paper studies the fault diagnosis of singular stochastic systems. The probability distribution of output is measured
by probability density functions (PDFs), which are modeled by a square root B-spline expansion. An adaptive nonlinear observer
is proposed to estimate the size of the fault occurring in systems. Furthermore, the linear matrix inequality (LMI) approach
is applied to establish sufficient conditions for the existence of the observer. Finally, the simulation results are given
to indicate the method for diagnosing the fault. |
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Keywords: | |
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