• DocumentCode
    3011323
  • Title

    Observers for nonlinear stochastic systems

  • Author

    Tarn, T.J. ; Yona Rasis

  • Author_Institution
    Washington University, St. Louis, Missouri
  • fYear
    1975
  • fDate
    10-12 Dec. 1975
  • Firstpage
    780
  • Lastpage
    788
  • Abstract
    Motivated by the complexity and the large quantity of on-line operations required for nonlinear filtering problems, observers for nonlinear stochastic systems are constructed based on a Liapunov-like method. Sufficient conditions on the structure of a nonlinear stochastic system for the existence of an exponentially bounded observer are given. These conditions can be applied off-line. The stabilization of unstable nonlinear stochastic systems using observer feedback are investigated. Sufficient conditions to stabilize cascaded control and observer in a feedback arrangement are given.
  • Keywords
    Approximation algorithms; Control theory; Feedback control; Filtering; Kalman filters; Least squares approximation; Linear systems; Mathematics; Noise measurement; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 14th Symposium on Adaptive Processes, 1975 IEEE Conference on
  • Conference_Location
    Houston, TX, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1975.270610
  • Filename
    4045527