• DocumentCode
    829710
  • Title

    Consistency conditions for the asymptotic innovations representation and an equivalent inverse regulation problem

  • Author

    Mosca, Edoardo ; Zappa, Giovanni

  • Author_Institution
    University of Florence, Florence, Italy
  • Volume
    24
  • Issue
    3
  • fYear
    1979
  • fDate
    6/1/1979 12:00:00 AM
  • Firstpage
    501
  • Lastpage
    503
  • Abstract
    The consistency problem of time-invariant innovations representation is considered. Namely, given a time-invariant stochastic dynamic (conditionally) Gaussian system in the standard innovations representation form, when can it be truly considered an asymptotic innovation representation of observable input-output pairs? This problem is shown to be equivalent by duality to the following inverse regulation problem. Given a liner time-invariant system,when can a state-feedback input be considered a liner-quadratic optimal control law?
  • Keywords
    Asymptotic stability; Innovations methods; Inverse optimal control problem; Kalman filtering; Linear systems, stochastic discrete-time; Optimal regulators; Optimal stochastic control; Stochastic optimal control; Cost function; Councils; Covariance matrix; Gaussian processes; Optimal control; Regulators; Stochastic systems; Systems engineering and theory; Technological innovation; User-generated content;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1979.1102070
  • Filename
    1102070