• DocumentCode
    1131272
  • Title

    Asymptotic Accuracy of Iterative Feedback Tuning

  • Author

    Hildebrand, R. ; Lecchini, A. ; Solari, G. ; Gevers, M.

  • Author_Institution
    Lab. de Modelization et Calcul, Univ. Joseph Fourier, France
  • Volume
    50
  • Issue
    8
  • fYear
    2005
  • Firstpage
    1182
  • Lastpage
    1185
  • Abstract
    Iterative feedback tuning (IFT) is a widely used procedure for controller tuning. It is a sequence of iteratively performed special experiments on the plant interlaced with periods of data collection under normal operating conditions. In this note, we derive the asymptotic convergence rate of IFT for disturbance rejection, which is one of the main fields of application.
  • Keywords
    control system synthesis; convergence; feedback; iterative methods; asymptotic convergence rate; controller tuning; data collection; disturbance rejection; iterative feedback tuning; Control systems; Convergence; Cost function; Discrete time systems; Feedback; Iterative methods; Process control; Stochastic processes; System identification; Transfer functions; Identification for control; iterative feedback tuning (IFT); stochastic optimization;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2005.852551
  • Filename
    1492561
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1131272