• DocumentCode
    2096629
  • Title

    Exact calculations of discrete-time process noise statistics for hybrid continuous/discrete time applications

  • Author

    Farrell, Jay ; Livstone, Mitchell

  • Author_Institution
    Charles Stark Draper Lab. Inc., Cambridge, MA, USA
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    857
  • Abstract
    Discrete-time models of continuous-time plants are commonly required due to the popular use of computers to implement control and estimation algorithms. When stochastic design techniques are utilized, it is necessary to determine the equivalent discrete-time process noise statistics from the continuous-time process noise statistics. Several references on the object of discrete-time control and estimation present approximate solutions for the necessary transformation; in this paper exact solutions are discussed
  • Keywords
    discrete time systems; eigenvalues and eigenfunctions; noise; statistical analysis; stochastic systems; continuous time system; discrete time process noise statistics; discrete time systems; eigenvalues; exact solutions; sampling period; stochastic system; Closed-form solution; Covariance matrix; Eigenvalues and eigenfunctions; Integral equations; Matrices; Physics; Sampling methods; Space technology; Statistics; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325027
  • Filename
    325027