• DocumentCode
    1406866
  • Title

    Automatic Optimizing of a Poorly Defined Process-I

  • Author

    Chestnut, H. ; Duersch, R.R. ; Gaines, W.M.

  • Author_Institution
    General Electric Company, Schenectady, N. Y.
  • Volume
    82
  • Issue
    65
  • fYear
    1963
  • fDate
    3/1/1963 12:00:00 AM
  • Firstpage
    32
  • Lastpage
    41
  • Abstract
    This paper is concerned with a consideration of the characteristics of various processes for which automatic optimizing might be employed. An appraisal is given as to the effect of these characteristics on the type of strategies or control logic to be employed. Further, an over-all description of a digital computer program is included which was developed and used to obtain quantitative results in this study. A number of strategies which were investigated in detail are then reviewed. The effect of such factors as constraints, measurement noise, and quantization are mentioned. Finally, the effects of noise are briefly examined, techniques to modify the strategies are discussed, and the results of one experiment described.
  • Keywords
    Automatic control; Control systems; Gain measurement; Humans; Logic; Noise measurement; Optimization methods; Process control; Quantization; Sensor phenomena and characterization;
  • fLanguage
    English
  • Journal_Title
    Applications and Industry, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0536-1524
  • Type

    jour

  • DOI
    10.1109/TAI.1963.5407858
  • Filename
    5407858