• DocumentCode
    1159800
  • Title

    Comments on "Integral variable structure control of nonlinear system using a CMAC neural network learning Approach"

  • Author

    Labiod, Salim

  • Author_Institution
    Fac. of Eng. Sci., Univ. of Jijel, Algeria
  • Volume
    34
  • Issue
    6
  • fYear
    2004
  • Firstpage
    2421
  • Abstract
    In the above paper, an adaptive integral variable structure control scheme using CMAC neural networks was proposed for a class of uncertain nonlinear systems. The author of the above paper claimed that the proposed controller ensures convergence of the tracking error to zero (see property 2 of Theorem 1). In this note, we point out that the proof of the property 2 is incorrect and therefore this property is untenable.
  • Keywords
    adaptive control; cerebellar model arithmetic computers; learning (artificial intelligence); nonlinear systems; CMAC neural network learning approach; integral variable structure control scheme; nonlinear system; Adaptive control; Control systems; Convergence; Error correction; Neural networks; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Programmable control; Adaptive control; CMAC; neural network control; nonlinear systems; variable structure control; Algorithms; Models, Statistical; Neural Networks (Computer); Nonlinear Dynamics;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2004.834436
  • Filename
    1356030