• DocumentCode
    822877
  • Title

    Solving the optimal attention allocation problem in manual control

  • Author

    Kleinman, David L.

  • Author_Institution
    University of Connecticut, Storrs, CT, USA
  • Volume
    21
  • Issue
    6
  • fYear
    1976
  • fDate
    12/1/1976 12:00:00 AM
  • Firstpage
    813
  • Lastpage
    822
  • Abstract
    Within the context of the optimal control model of human response, analytic expressions for the gradients of closed-loop performance metrics with respect to human operator attention allocation are derived. These derivatives serve as the basis for a gradient algorithm that determines the optimal attention that a human should allocate among several display indicators in a steady-state manual control task. Application of the human modeling techniques are made to study the hover control task for a CH-46 VTOL flight tested by NASA.
  • Keywords
    Gradient methods; Human controllers; Optimal control; 1f noise; Covariance matrix; Displays; Human factors; NASA; Noise level; Optimal control; Riccati equations; Signal to noise ratio; Steady-state;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1976.1101382
  • Filename
    1101382