• DocumentCode
    2824815
  • Title

    Fault detection over noisy wireless channels

  • Author

    Li, W. ; Zhang, P. ; Ding, S.X. ; Bredtmann, O.

  • Author_Institution
    Univ. of Duisburg-Essen, Duisburg
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    5050
  • Lastpage
    5055
  • Abstract
    In this paper, the fault detection problem over a noisy wireless channel is studied. The presence of bit errors in data transmission can degrade the fault detection performance. The reliability of the network is a critical issue for the system design. We first analyze the characteristics of the communication over a noisy channel from the view of coding theory, and obtain the bounds of the transmission errors due to bit errors in different positions of a binary information sequence. Those bounds are then reconstructed as the system uncertainties. Based on the result, we formulate the fault detection system as a Markov jumping linear system (MJLS), and solve the Hinfin optimal problem for the threshold calculation with the help of the linear matrix inequality (LMI) technique.
  • Keywords
    Hinfin control; error statistics; fault diagnosis; linear matrix inequalities; linear systems; telecommunication network reliability; wireless channels; Hinfin optimal problem; Markov jumping linear system; binary information sequence; bit errors; coding theory; data transmission; fault detection; linear matrix inequality; network reliability; noisy wireless channels; system design; Communication channels; Communication system control; Control systems; Data communication; Fault detection; Feedback; Networked control systems; Stability; Telecommunication network reliability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434622
  • Filename
    4434622