• DocumentCode
    1660288
  • Title

    Ellipsoidal estimation over observations with a vector impulse component

  • Author

    Basin, Michael V.

  • Author_Institution
    Inst. of Control Sci., Moscow, Russia
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1197
  • Abstract
    An estimation problem over discrete-continuous observations is considered for an impulse component. A filtering procedure is suggested to design filtering equations over discrete-continuous observations (DCO) proceeding from the known filtering equations over continuous ones. This paper aims to obtain filtering equations over DCO with a vector impulse component. The ellipsoidal guaranteed estimation problem is selected as an example that illustrates the difference between filtering equations in scalar and vector distribution. Indeed, the obtained ellipsoidal estimation equations contain discontinuous regular functions in righthand sides. To define a solution uniquely and therefore to use a filtering procedure is possible if a transfer function in an observation equation is a symmetric matrix one. Then a right-hand side of each filtering equation satisfies the one-side solvability condition which is equivalent to the one-side Frobenius condition ensuring uniqueness. A vibrosolution, defined as a unique limit, to a system of ellipsoidal filtering equations is thus to be a pair of ellipsoid parameters optimal in the given sense. In case of scalar distribution the one-side solvability condition is always satisfied
  • Keywords
    elliptic equations; filtering theory; identification; transfer function matrices; discrete-continuous observations; ellipsoidal estimation; ellipsoidal filtering equations; filtering equations design; observation equation; observations; one-side Frobenius condition; one-side solvability condition; optimal ellipsoid parameters; scalar distribution; symmetric matrix transfer function; vector distribution; vector impulse component; vibrosolution; Calibration; Difference equations; Ellipsoids; Filtering; Phase estimation; Signal processing; State estimation; Symmetric matrices; Transfer functions; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411170
  • Filename
    411170