• DocumentCode
    3220276
  • Title

    Fuzzy model based fault detection for nonlinear NCS with packet dropout

  • Author

    Cui, Lei ; Yang, Ying ; Xu, Shiyun

  • Author_Institution
    State Key Lab. for Turbulence & Complex Syst., Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    2189
  • Lastpage
    2194
  • Abstract
    The phenomenon of packet dropout is ubiquitous in the networked control system (NCS). In this paper, we address fuzzy model based fault detection for nonlinear networked control systems with packet dropout. To this end, a nonlinear system is rewritten into several linear systems multiplying their membership functions respectively, and a fuzzy model of the nonlinear networked control systems is derived. A reference model strategy is employed to achieve model matching problem in virtue of a fuzzy observer based residual generation and evaluation. In order to evaluate the performance of the designed approach, a corresponding threshold is given. Finally, an example is employed to verify that the proposed method performs well for nonlinear networked control systems with packet dropout.
  • Keywords
    distributed control; fault diagnosis; fuzzy control; linear matrix inequalities; linear systems; nonlinear control systems; observers; fuzzy model based fault detection; fuzzy observer based residual generation; linear systems; model matching problem; nonlinear networked control systems; packet dropout; reference model strategy; Communication system control; Control systems; Fault detection; Filters; Fuzzy control; Fuzzy systems; Mathematical model; Networked control systems; Nonlinear systems; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
  • Conference_Location
    Xiamen
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4244-5195-1
  • Electronic_ISBN
    1948-3449
  • Type

    conf

  • DOI
    10.1109/ICCA.2010.5524350
  • Filename
    5524350