By Topic

Identification of a Parametric Model of the Human Operator in Closed-Loop Control Tasks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

A novel identification method is implemented to identify on-line a parametric model of the human operator in closed-loop tracking tasks. The method, recently developed by the authors, identifies time delay, form and order, and the minimum essential number of parameters of a continuous differential equation representation. Thus the variance of the estimates is small. Results of exploratory identification tests including stationary, time varying, and secondary tasks are described. The tests with stationary plants demonstrate good convergence and low variance. In the time varying tests, the changing parameters in the human operator were tracked, and the effect of a secondary task loading clearly showed up as significant changes in model parameters. The results demonstrate the applicability of the method to the investigation of human operator adaptive processes in the control of nonstationary control tasks.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:7 ,  Issue: 4 )