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Finite-Time Fault Detection for Large-Scale Networked Systems with Randomly Occurring Nonlinearity and Fault

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  • Yong Zhang
  • Huajing Fang
  • Zhenxing Liu

Abstract

The finite-time fault detection problem is investigated for a class of nonlinear quantized large-scale networked systems with randomly occurring nonlinearities and faults. A nonlinear Markovian jump system model with partially unknown transition probabilities is employed to describe this Makov data assignment pattern. Based on obtained model, in finite-time stable framework, the desired mode-dependent fault detection filters are constructed such that the augmented error systems are finite-time stochastically stable with attenuation level. Especially, the sufficient conclusions provide quantitative relationship between network characteristic, quantization level, and finite-time system parameter with finite-time fault detection performance. The effectiveness of the proposed methods is demonstrated by simulation examples.

Suggested Citation

  • Yong Zhang & Huajing Fang & Zhenxing Liu, 2014. "Finite-Time Fault Detection for Large-Scale Networked Systems with Randomly Occurring Nonlinearity and Fault," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-14, April.
    • Handle: RePEc:hin:jnlmpe:513765
    DOI: 10.1155/2014/513765
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