• DocumentCode
    2127338
  • Title

    Application of learning control methods to a fed-batch fermentation process

  • Author

    Zhang, B.S. ; Jalel, N.A. ; Leigh, J.R.

  • Author_Institution
    Westminster Univ., UK
  • Volume
    1
  • fYear
    1994
  • fDate
    21-24 March 1994
  • Firstpage
    624
  • Abstract
    In this paper, some learning control methods are presented and their potential applications to the control of residual nitrogen concentration by controlling the nitrogen feed rate to the fed-batch fermentation process are investigated. The learning control methods presented include neural network control, self-organising fuzzy logic control, state learning control and time-sequence iterative learning control. These methods have something in common, but also each method has its own features.
  • Keywords
    fermentation; fuzzy control; learning systems; neural nets; process computer control; self-adjusting systems; fed batch fermentation process; learning control methods; neural network control; nitrogen feed rate; residual nitrogen concentration control; self organising fuzzy logic control; state learning control; time sequence iterative learning control;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control, 1994. Control '94. International Conference on
  • Conference_Location
    Coventry, UK
  • Print_ISBN
    0-85296-610-5
  • Type

    conf

  • DOI
    10.1049/cp:19940204
  • Filename
    327073