• DocumentCode
    2011690
  • Title

    Minimum seeking neural network for direct feedback control

  • Author

    Peng, Pei-Yuan ; Zhang, Youping

  • Author_Institution
    United Technol. Res. Center, East Hartford, CT, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    This paper presents a faster, robust learning algorithm for a neural network controller design. The learning scheme is regarded as finding the optimal weights via the proposed minimum seeking scheme. The only information required is the system output measurement
  • Keywords
    feedback; learning (artificial intelligence); neurocontrollers; nonlinear control systems; uncertain systems; direct feedback control; minimum seeking neural network; neural network controller design; optimal weights; robust learning algorithm; Attenuation; Control systems; Feedback control; Neural networks; Neurons; Nonlinear control systems; Nonlinear systems; Open loop systems; Robust control; Silver;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 2001. (ISIC '01). Proceedings of the 2001 IEEE International Symposium on
  • Conference_Location
    Mexico City
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-6722-7
  • Type

    conf

  • DOI
    10.1109/ISIC.2001.971483
  • Filename
    971483
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2011690