• DocumentCode
    315195
  • Title

    The use of feedforward neural networks to cancel nonlinearities of dynamic systems

  • Author

    Teixeira, Edilberto P. ; Faria, Elmo B. ; Breunig, Adriano

  • Author_Institution
    Univ. Federal de Uberlandia, Brazil
  • Volume
    2
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    767
  • Abstract
    This work presents the experimental results of a nonlinear system subject to feedback linearization using artificial neural networks. The linearization function is directly estimated from actual input-output data
  • Keywords
    control nonlinearities; feedback; feedforward neural nets; linearisation techniques; nonlinear control systems; nonlinear dynamical systems; artificial neural networks; dynamic systems; feedforward neural networks; nonlinearities; Artificial neural networks; Feedforward neural networks; Linear systems; Neural networks; Neurofeedback; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Output feedback; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.616119
  • Filename
    616119
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=315195