• DocumentCode
    825739
  • Title

    Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems

  • Author

    Yoo, Sung Jin ; Park, Jin Bae ; Choi, Yoon Ho

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul
  • Volume
    19
  • Issue
    8
  • fYear
    2008
  • Firstpage
    1496
  • Lastpage
    1498
  • Abstract
    In this comment, we point out an error in [1], which will show that the main result of the paper cannot be generalized for nonlinearly parametric time-delay systems considered in [1]. In [1], the authors considered the problem of the adaptive control for a class of nonlinearly parametric time-delay systems and applied successfully the proposed approach to second-order nonlinear time-delay systems with the term x1(t - tau)x2(t - tau) used as simulation examples in Section VI. However, we show in this comment that the control approach presented in [1] cannot be generalized although it is realizable for nonlinear second-order time-delay systems with the term x1(t - tau ) x2 (t - tau). In addition, we illustrate this error by one detail example. For simplicity, all the symbols in this comment are the same as those in [1].
  • Keywords
    adaptive control; computational complexity; delays; neurocontrollers; adaptive neural control; nonlinear second-order time-delay systems; nonlinearly parametric time-delay systems; Computer networks; Control systems; Fourier series; Function approximation; Learning systems; Machine learning; Nonlinear control systems; Polynomials; Probability distribution; Training data; Algorithms; Computer Simulation; Feedback; Linear Models; Neural Networks (Computer); Nonlinear Dynamics; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted; Stochastic Processes;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2008.2002331
  • Filename
    4589009