Parity space-based fault detection for Markovian jump systems

نویسندگان

  • Maiying Zhong
  • Qiang Ding
  • Peng Shi
چکیده

This paper deals with problems of parity space-based fault detection for a class of discrete-time linear Markovian jump systems. A new algorithm is firstly introduced to reduce the computation of mode-dependent redundancy relation parameter matrices. Different from the case of linear time invariant systems, the parity space-based residual generator for a Markovian jump system cannot be designed off-line because it depends on the history of system modes in the last finite steps. In order to overcome this difficulty, a finite set of parity matrices is pre-designed applying a unified approach to linear time invariant systems. Then the on-line residual generation can be easily implemented. Moreover, the problem of residual evaluation is also considered which includes the determination of a residual evaluation function and a threshold. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

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عنوان ژورنال:
  • Int. J. Systems Science

دوره 40  شماره 

صفحات  -

تاریخ انتشار 2009