• DocumentCode
    757717
  • Title

    Neural network controller characteristics with regard to adaptive control

  • Author

    Yabuta, Tetsuro ; Yamada, Takayuki

  • Author_Institution
    NTT, Ibaraki, Japan
  • Volume
    22
  • Issue
    1
  • fYear
    1992
  • Firstpage
    170
  • Lastpage
    177
  • Abstract
    The authors attempt to clarify neural network (NN) controller characteristics by comparison with the adaptive control theory. The authors clarify the classification of the NN controller architecture and the dynamic NN structure. Comparison between the NN controller and the adaptive controller clarifies that the framework of a linear two-layer NN-type controller is the same as that of adaptive control and the nonlinear three-layer NN (PDP type) is a nonlinear extension of the adaptive control. The stability characteristics of the NN control system are discussed. NN controller experiments are demonstrated using a force control servomechanism. Experimental results suggest that the nonlinear sigmoid function of the NN can compensate for the nonlinear plant effect
  • Keywords
    adaptive control; force control; neural nets; nonlinear control systems; servomechanisms; stability; adaptive control; classification; force control servomechanism; linear two-layer controller; neural network controller characteristics; nonlinear sigmoid function; nonlinear three-layer controller; stability characteristics; Adaptive control; Control systems; Control theory; Flexible structures; Force control; Neural networks; Nonlinear dynamical systems; Programmable control; Robot control; Telecommunication control;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.141322
  • Filename
    141322