• DocumentCode
    1794809
  • Title

    Fault detection for networked control systems via reduced-order filtering

  • Author

    Yang Zhang ; Qing Wang ; Zhaolei Wang ; Chaoyang Dong

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    212
  • Lastpage
    218
  • Abstract
    For the networked control system (NCSs) with short network-induced time delay, the online fault detection method is proposed. The Markov jumping model for NCSs is established under the condition that the network-induced time delay can be governed by the Markov chain. The feasible solution of the reduced order fault detection filter is achieved based on the robust filtering method, and the non-convex optimization problem with the constraint of matrix rank is obtained. The local optimal solution of the optimization problem is considered based on the alternating projection method and the parameters of the fault detection filter are presented. Finally, the numerical examples show that the proposed approach can restrain the impact of the delays, and detect the faults quickly and effectively.
  • Keywords
    Markov processes; delays; fault diagnosis; matrix algebra; networked control systems; optimisation; reduced order systems; robust control; stochastic systems; Markov chain; Markov jumping model; NCS; alternating projection method; matrix rank constraint; network-induced time delay; networked control systems; nonconvex optimization problem; online fault detection method; reduced order fault detection filter; reduced-order filtering; robust filtering method; short network-induced time delay; Control systems; Delay effects; Fault detection; Linear matrix inequalities; Markov processes; Optimization; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007237
  • Filename
    7007237