• DocumentCode
    2995937
  • Title

    Maximum likelihood estimation of bias in discrete linear systems

  • Author

    Sage, A.P. ; Lin, J.L.

  • Author_Institution
    SMU Institute of Technology, Dallas, Texas
  • fYear
    1970
  • fDate
    7-9 Dec. 1970
  • Firstpage
    224
  • Lastpage
    224
  • Abstract
    This paper presents the use of maximum likelihood estimation, optimization theory, and discrete invariant imbedding in the development of algorithms for the maximum likelihood estimation of bias coefficients in discrete linear systems with stochastic inputs and disturbances.
  • Keywords
    Control systems; Linear systems; Maximum likelihood estimation; Prediction algorithms; Predictive models; Q measurement; Random processes; Recursive estimation; State estimation; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Processes (9th) Decision and Control, 1970. 1970 IEEE Symposium on
  • Conference_Location
    Austin, TX, USA
  • Type

    conf

  • DOI
    10.1109/SAP.1970.270029
  • Filename
    4044684
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2995937