• DocumentCode
    337726
  • Title

    Stochastic control of discrete systems: a separation principle for Wiener and polynomial systems

  • Author

    Grimble, M.J.

  • Author_Institution
    Ind. Control Unit, Strathclyde Univ., Glasgow, UK
  • Volume
    1
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    790
  • Abstract
    A separation principle is established for systems represented in discrete frequency-domain Wiener or polynomial forms. The LQG or H2 optimal controller can be realized using an observer based structure estimating noise free output variables that are fedback through a dynamic gain control block. The frequency-domain solution can be related to standard state-space Kalman filtering results, but it has a rather different structure. There are also two separation principle theorems depending upon the order in which the ideal output optimal control and the optimal observer problems are solved
  • Keywords
    discrete systems; filtering theory; linear quadratic Gaussian control; observers; state-space methods; stochastic systems; H2 optimal controller; discrete frequency-domain Wiener systems; dynamic gain control block; frequency-domain solution; noise free output variables; observer based structure; polynomial systems; separation principle; standard state-space Kalman filtering; stochastic control; Colored noise; Control systems; Covariance matrix; Equations; Frequency domain analysis; Noise measurement; Optimal control; Output feedback; Polynomials; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.760784
  • Filename
    760784