• DocumentCode
    792799
  • Title

    Comments on "Adaptive control and identification using one neural network for a class of plants with uncertainties"

  • Author

    Cajueiro, D.O. ; Hemerly, E.M.

  • Author_Institution
    Instituto Tecnologico de Aeronautica, Sao Paulo, Brazil
  • Volume
    32
  • Issue
    2
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    279
  • Lastpage
    280
  • Abstract
    In the above paper, Tsuji et al. (see ibid. vol.28 (1998)) proposed an interesting scheme for adaptive control that uses only one neural network (NN). Moreover, the stability of the parametric and identification errors was analyzed and a sufficient condition for it was presented. However, since the selected signals for the NN input were not the natural choice, their scheme presents some problems. This study intends to circumvent these problems by modifying the scheme proposed in the work of Tsuji et al., and to highlight some advantages of the modified scheme.
  • Keywords
    Lyapunov methods; adaptive control; asymptotic stability; identification; neurocontrollers; uncertain systems; Lyapunov methods; adaptive control; asymptotic stability; dynamics uncertainty; identification; neural network; uncertain systems; Adaptive control; Asymptotic stability; Equations; Error analysis; Error correction; Lyapunov method; Neural networks; Stability analysis; Sufficient conditions; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2002.1021115
  • Filename
    1021115