• DocumentCode
    857925
  • Title

    On closed-form expressions for mean squares in discrete-continuous systems

  • Author

    Sklansky, Jack

  • Author_Institution
    RCA Laboraories, Princeton, NJ, USA
  • Volume
    4
  • Issue
    1
  • fYear
    1958
  • fDate
    3/1/1958 12:00:00 AM
  • Firstpage
    21
  • Lastpage
    27
  • Abstract
    When a system is to be optimized with respect to the mean square of some variable, a closed-form expression for that mean square is usually desired. The problem of obtaining such expressions for discrete-continuous systems-i.e., systems made up of both sampled-data and continuous subsystems-has been a difficulty in the past. The reason for this is that the spectral densities of the variables of interest often contain rational functions of \\exp (j2\\pi fT) combined multiplicatively with rational functions of f, f being the frequency coordinate of the spectral densities, and T the sampling period. Presented here is a technique for finding the desired closed-form expressions. It is based on the relation int\\min{-j\\infty }\\max {j\\infty } P^{\\ast }(e^{s^{T}})Q(s)ds = \\oint P^{\\ast }(z)Q^{\\ast }(z)z^{-1}dz , where Q^{\\ast } (z) is the " Z -transform" of Q (s) , To illustrate the technique, closed-form formulas for the output and ripple of discrete-continuous systems and for the control error of sampled-data feedback systems are derived, and an application to a "track-while-scan" system is given.
  • Keywords
    Closed-form solution; Communication system control; Control systems; Error correction; Frequency; Integral equations; Mean square error methods; Output feedback; Sampling methods; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IRE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-199X
  • Type

    jour

  • DOI
    10.1109/TAC.1958.1104837
  • Filename
    1104837