Delay-distribution-dependent fault detection of networked control systems with stochastic quality of services

  • Authors:
  • Chen Peng;Dong Yue;Ji Quan Yang

  • Affiliations:
  • School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China;School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China;School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China

  • Venue:
  • International Journal of Systems Science
  • Year:
  • 2010

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Abstract

Network-induced delay in networked control systems (NCS) is inherent non-uniform distribution and behaves with multifractal nature. However, such network characteristics have not been well considered in the fault detection and isolation of NCS. Making use of those statistical characteristics of NCS network-induced delay, a delay-distribution-based fault detection model is proposed, which is greatly different from the existing Markov switching process model. From this model together with a tighter bounding technique for cross-product terms, a delay-distribution-dependent H∞ fault detection filter is carried out with significantly improved results. A numerical example is given to demonstrate the effectiveness of the proposed method.