• DocumentCode
    281335
  • Title

    Stability of estimators for linear systems

  • Author

    McCullough, Claire L. ; Birdwell, J.Douglas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
  • fYear
    1988
  • fDate
    11-13 Apr 1988
  • Firstpage
    446
  • Lastpage
    451
  • Abstract
    The stability of distributed estimators in the limit as time goes to infinity is examined. A counterexample is given to show that standard stability requirements on the global system and the local filters are not sufficient to guarantee that covariance of the error between the actual state and the estimate remains finite in the limit. Sufficient conditions for uniformly bounded error covariance are presented, and in a special case, necessary and sufficient conditions are given
  • Keywords
    linear systems; parameter estimation; stability; distributed estimators; linear systems; local filters; necessary and sufficient conditions; stability; sufficient conditions; uniformly bounded error covariance; Covariance matrix; Density measurement; Equations; Filters; H infinity control; Linear systems; Random variables; Stability; State estimation; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '88., IEEE Conference Proceedings
  • Conference_Location
    Knoxville, TN
  • Type

    conf

  • DOI
    10.1109/SECON.1988.194895
  • Filename
    194895
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=281335