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    Robust fault detection for discrete-time markovian jump linear systems with partly unknown transition probabilities

    Access Status
    Fulltext not available
    Authors
    Shi, J.
    Yin, YanYan
    Liu, F.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Shi, J. and Yin, Y. and Liu, F. 2016. Robust fault detection for discrete-time markovian jump linear systems with partly unknown transition probabilities, pp. 1862-1867.
    Source Title
    Chinese Control Conference, CCC
    DOI
    10.1109/ChiCC.2016.7553366
    ISBN
    9789881563910
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/52837
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 TCCT.The problem of robust fault detection (RFD) for discrete-time Markovian jump linear systems (MJLSs) with partly unknown transition probabilities is investigated in the paper. The RFD observer (RFDO) system and the dynamics of error generator are constructed. By introducing some free-weighting matrices, the proposed method leads to less conservatism compared with the existing ones. Moreover, the H8 performance index is proposed to minimize the influence of the unknown disturbances. Sufficient conditions on the existence of RFDO are established and given in terms of LMIs. Finally, a simulation example is given to illustrate that the proposed RFDO can detect the faults correctly and shortly after the occurrence.

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