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
Link To Document