• DocumentCode
    2192570
  • Title

    Finite-horizon estimation of randomly occurring faults for discrete time-varying systems

  • Author

    Hongli Dong ; Zidong Wang ; Bo Shen

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Northeast Pet. Univ., Daqing, China
  • fYear
    2013
  • fDate
    13-14 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals with the finite-horizon estimation of randomly occurring faults for a class of linear discrete time-varying systems. All the system parameters are time-varying and the failures are assumed to occur in a random way, and two sets of Bernoulli distributed white sequences are introduced to govern the failures probability. By using the completing squares method and stochastic analysis techniques, necessary and sufficient conditions for the existence of the finite-horizon Hoo fault estimator are derived, and then the time-varying fault estimator parameters are obtained by solving coupled backward recursive Riccati difference equations (RDEs). A simulation example is utilized to illustrate the usefulness of the proposed fault estimation method.
  • Keywords
    Riccati equations; difference equations; discrete systems; fault diagnosis; linear systems; statistical distributions; stochastic processes; time-varying systems; Bernoulli distributed white sequences; RDEs; completing squares method; coupled backward recursive Riccati difference equations; failure probability; fault estimation method; finite-horizon Hoo fault estimator; linear discrete time-varying systems; necessary conditions; randomly occurring faults; stochastic analysis techniques; sufficient conditions; system parameters; time-varying fault estimator parameters; Difference equations; Educational institutions; Estimation; Mathematical model; Stochastic systems; Time-varying systems; Fault estimation; Randomly occurring faults; Recursive Riccati difference equations; Time-varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Computing (ICAC), 2013 19th International Conference on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    6662031