• DocumentCode
    3598110
  • Title

    Self-tuning control with singular pencil models

  • Author

    Wang, Xiaochun George

  • Author_Institution
    Inst. of Mach. Res., Nat. Res. Council of Canada, Vancouver, BC, Canada
  • Volume
    3
  • fYear
    1995
  • Firstpage
    2604
  • Abstract
    The problem of self-tuning control for linear stochastic systems is considered. The system is represented in singular pencil system model whose internal variables and parameters are estimated using an ordinary Kalman filter. The estimated internal variables and parameters are then used in the state feedback controller to achieve self-tuning control
  • Keywords
    linear systems; matrix algebra; parameter estimation; self-adjusting systems; state feedback; stochastic systems; internal variables; linear stochastic systems; ordinary Kalman filter; self-tuning control; singular pencil models; state feedback controller; Control systems; Councils; Linear systems; Machinery; Parameter estimation; State estimation; State feedback; State-space methods; Stochastic systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.538175
  • Filename
    538175
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3598110