Title :
Solving the optimal attention allocation problem in manual control
Author :
Kleinman, David L.
Author_Institution :
University of Connecticut, Storrs, CT, USA
fDate :
12/1/1976 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1976.1101382