• DocumentCode
    706839
  • Title

    Application of true linearization in stochastic quasi-optimal control problems

  • Author

    Socha, L.A.

  • Author_Institution
    Inst. of Transp., Silesian Tech. Univ., Katowice, Poland
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    2992
  • Lastpage
    2997
  • Abstract
    The problem of quasi-optimal linear feedback control laws for nonlinear systems with quadratic performance criteria under Gaussian white noise excitations is considered. To determine the quasi-optimal control a modified version of standard iterative procedure is used, where three versions of statistical linearization methods and true linearization method were combined with the optimal control method for linear systems with the mean-square criterion. The validity of this method is shown by analytical and numerical calculations for examples.
  • Keywords
    feedback; iterative methods; linear systems; linearisation techniques; nonlinear control systems; optimal control; statistical analysis; stochastic systems; Gaussian white noise excitations; linear systems; mean-square criterion; nonlinear systems; quadratic performance criteria; quasi-optimal linear feedback control law problem; standard iterative procedure; statistical linearization methods; stochastic quasi-optimal control problems; true linearization method; Lead; Optimized production technology; Random vibrations; linearization techniques; optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099784