• DocumentCode
    1300622
  • Title

    Model quality evaluation in identification for H∞ control

  • Author

    Canale, Massimo ; Malan, Stefano A. ; Milanese, Mario

  • Author_Institution
    Dipt. di Autom. e Inf., Politecnico di Torino, Italy
  • Volume
    43
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    125
  • Lastpage
    132
  • Abstract
    A mixed parametric-nonparametric approach to H∞ identification is proposed, aimed at estimating a low-order approximating model and an identification error giving a measure of the model perturbation in a form well suited for H∞ control methodologies. It is shown how to estimate the modeling errors of the identified parametric model and how to evaluate the performance values that can be guaranteed when the H∞ controller is designed and applied to the real system. This performance value is then used for selecting the most “suitable” order of the parametric model class
  • Keywords
    H∞ control; closed loop systems; control system synthesis; parameter estimation; robust control; uncertain systems; H∞ control; H∞ identification; identification error; low-order approximating model; mixed parametric-nonparametric identification; model perturbation; model quality evaluation; parametric model class; performance value; Automatic control; Costs; Design methodology; Error correction; Optimal control; Output feedback; Parametric statistics; Performance analysis; Robust control; Robust stability;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.654913
  • Filename
    654913
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1300622