Accession Number:

AD0435686

Title:

FURTHER STUDIES OF MULTIPLE REGRESSION ANALYSIS OF HUMAN PILOT DYNAMIC RESPONSE: A COMPARISON OF ANALYSIS TECHNIQUES AND EVALUATION OF TIMEVARYING MEASUREMENTS.

Descriptive Note:

Rept. for Mar 62-June 63,

Corporate Author:

BOLT BERANEK AND NEWMAN INC CAMBRIDGE MASS

Personal Author(s):

Report Date:

1964-03-01

Pagination or Media Count:

168.0

Abstract:

Multiple regression analysis is used for comparing four system identification techniques commonly used to determine human pilot describing functions cross-correlation analysis, crosspower density spectrum analysis, orthogonalized exponential function analysis, and differential equation coefficient methods. Relations for the expected values and variances of the measurements obtained using these methods are derived. The relative advantages of these methods for long and short sample measurements are dicussed. A method is presented for computing estimates of the coefficients of the differential equation for the human pilot from the regression coefficients obtained for the orthogonalized exponential analysis method. Differences in describing function estimates obtained from direct open-loop measurements in which the error signal is used as the input for analysis and estimates obtained from closed-loop measurements in which the system input signal is used as the input are also discussed. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE