• DocumentCode
    3147787
  • Title

    Dynamical implications of using neural networks as controllers

  • Author

    Thomas, Robert J. ; Sakk, Eric

  • Author_Institution
    Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    1991
  • fDate
    23-26 Jul 1991
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    The authors examine the usefulness of the feedforward neural network as a controller. For illustrative purposes, the authors consider the case of controlling two-dimensional linear systems. Observations are then made which generalize to higher dimensions and nonlinear systems. Examples are provided to verify the results. In particular, a classical power system stabilizer is examined to demonstrate the feasibility of using a neural controller
  • Keywords
    feedforward neural nets; power engineering computing; power system stability; 2D linear systems; feedforward neural network; power system stabilizer; Backpropagation algorithms; Control systems; Feedforward neural networks; Linear systems; Neural networks; Neurons; Nonlinear systems; Power systems; Shape; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0065-3
  • Type

    conf

  • DOI
    10.1109/ANN.1991.213511
  • Filename
    213511