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Fault Diagnosis for Linear Discrete Systems Based on an Adaptive Observer

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  • Jianwei Liu
  • Bin Jiang
  • Ke Zhang

Abstract

This paper presents a fault diagnosis algorithm to estimate the fault for a class of linear discrete systems based on an adaptive fault estimation observer. And observer gain matrix and adaptive adjusting rule of the fault estimator are designed. Furthermore, the adaptive regulating algorithm can guarantee the first-order difference of a Lyapunov discrete function to be negative, so that the observer is ensured to be stable and fault estimation errors are convergent. Finally, simulation results of an aircraft F-16 illustrate the advantages of the theoretic results that are obtained in this paper.

Suggested Citation

  • Jianwei Liu & Bin Jiang & Ke Zhang, 2013. "Fault Diagnosis for Linear Discrete Systems Based on an Adaptive Observer," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-5, November.
  • Handle: RePEc:hin:jnlmpe:343524
    DOI: 10.1155/2013/343524
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