Accession Number : AD0732166

Title :   Crosscorrelation Identification in the Presence of Drift,

Corporate Author : SASKATCHEWAN UNIV SASKATOON DEPT OF MECHANICAL ENGINEERING

Personal Author(s) : Nikiforuk,P. N. ; Gupta,M. M. ; Hoffman,R.

Report Date : 19 JUN 1970

Pagination or Media Count : 6

Abstract : Three related methods are proposed for eliminating the effect of low frequency polynomial type drift in the crosscorrelation identification of linear time-invariant discrete systems using pseudorandom sequences. The methods are similar to the one suggested by Macleod in that a convolution summation using alternating sign binomial coefficients is performed on the measured system output. However, the proposed methods are computationally simpler than Macleod's method as no deconvolution process is required. Digital computer simulation results are presented to show the effectiveness of these methods in the presence of both low and high frequency disturbances. (Author)

Descriptors :   (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), (*LINEAR SYSTEMS, IDENTIFICATION), POLYNOMIALS, SEQUENCES, OPERATORS(MATHEMATICS), WHITE NOISE, CANADA

Subject Categories : Numerical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE