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Fault Detection for Linear Discrete Time-Varying Systems with Measurement Packet Dropping

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  • Yueyang Li
  • Shuai Liu
  • Zhonghua Wang

Abstract

The fault detection (FD) problem for linear discrete time-varying (LDTV) systems with measurement packet dropouts is considered. The objective is to design a new observer-based fault detection filter (FDF) as a residual generator through employing packet dropout information on the measurement sequence. Based on some new defined input-to-output operators, the FD problem is formulated in a framework of maximizing stochastic or performance index. By introducing an adjoint-operator-based optimization method, the analytical optimal solution can be derived in terms of solving a modified Riccati equation. A numerical example is provided to demonstrate the effectiveness of the proposed approach.

Suggested Citation

  • Yueyang Li & Shuai Liu & Zhonghua Wang, 2013. "Fault Detection for Linear Discrete Time-Varying Systems with Measurement Packet Dropping," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, May.
    • Handle: RePEc:hin:jnlmpe:697345
    DOI: 10.1155/2013/697345
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