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Fault Detection for Networked Control Systems via Minimum Error Entropy Observer

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Advances in Computational Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 116))

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Abstract

In this paper, a novel fault detection scheme is presented for networked control systems with random delays and noises. Since the random noises and delays existed in networked control system are probably non-Gaussian, the extended Luenberger observer under minimum error entropy frame is utilized to generate residual so as to detect faults in networked control systems. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method.

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Zhang, J., Cai, L., Wang, H. (2009). Fault Detection for Networked Control Systems via Minimum Error Entropy Observer. In: Yu, W., Sanchez, E.N. (eds) Advances in Computational Intelligence. Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03156-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-03156-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03155-7

  • Online ISBN: 978-3-642-03156-4

  • eBook Packages: EngineeringEngineering (R0)

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