• DocumentCode
    337711
  • Title

    Design of a static neural element in an iterative learning control scheme

  • Author

    Hideg, Laszlo

  • Author_Institution
    Dept. of Electr. Eng., Lawrence Technol. Univ., Southfield, MI, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    690
  • Abstract
    Most often, employing a neural net in a control system implies an adaption scheme. Neural nets inherently are non-model based, requiring the adaption. This paper proposes a design process which selects values of a single layer neural net suitable to replace a control law element
  • Keywords
    convergence; iterative methods; learning (artificial intelligence); neurocontrollers; stability; convergence; iterative learning control; neural net; stability; static neural element; Control systems; Convergence; Delay effects; Error correction; Frequency domain analysis; Neural networks; PD control; Process design; Stability; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.760764
  • Filename
    760764
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=337711