• DocumentCode
    3477638
  • Title

    Direct predictive adaptive control with stochastic gradient identifiers

  • Author

    Giarre, Laura ; Mosca, Edoardo

  • Author_Institution
    Dipartimento di Sistemi e Inf., Firenze Univ., Italy
  • fYear
    1991
  • fDate
    11-13 Dec 1991
  • Firstpage
    1788
  • Abstract
    The multistep multivariable adaptive regulator, which is a direct predictive adaptive controller, is considered. Specifically, the replacement of recursive least squares (RLS) identifiers with stochastic gradient (SG) identifiers in that controller is considered. By an ordinary differential equation analysis, local convergence properties of the algorithm are investigated. The conclusions, supported by various simulation results, are that, in contrast to the case of the one-step-ahead self-tuning regulator, replacement of RLS with SG deteriorates the convergence properties of the resulting adaptive controller
  • Keywords
    adaptive control; least squares approximations; multivariable control systems; predictive control; stochastic systems; MUSMAR; local convergence; multistep multivariable adaptive regulator; one-step-ahead self-tuning regulator; ordinary differential equation analysis; recursive least squares identifiers; stochastic gradient identifiers; Adaptive control; Algorithm design and analysis; Costs; Differential equations; Least squares methods; Linear feedback control systems; Polynomials; Programmable control; Regulators; Resonance light scattering; Sampling methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-0450-0
  • Type

    conf

  • DOI
    10.1109/CDC.1991.261714
  • Filename
    261714