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    A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes

    Access Status
    Fulltext not available
    Authors
    Yin, Y.
    Shi, Peng
    Liu, F.
    Teo, Kok Lay
    Teo, Kok Lay
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Yin, Y. and Shi, P. and Liu, F. and Teo, K.L. and Teo, K.L. 2015. A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes. Information Sciences. 292: pp. 198-213.
    Source Title
    Information Sciences
    DOI
    10.1016/j.ins.2014.08.055
    ISSN
    0020-0255
    URI
    http://hdl.handle.net/20.500.11937/37984
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we consider a class of fuzzy stochastic systems with nonhomogeneous jump processes. Our focus is on the design of a fuzzy fault detection filter that is sensitive to faults but robust against unknown inputs. Furthermore, the error filtering system is stochastically stable. With reference to an H1 performance index and a new performance index, sufficient conditions to ensure the existence of a fuzzy robust fault detection filter are derived. Simulation studies are carried out, showing that the proposed fuzzy robust FD filter can rapidly detect the faults correctly.

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