DocumentCode :
1190178
Title :
R68-6 Regression Analysis and Parameter Identification
Author :
Strauss, J.C.
Issue :
2
fYear :
1968
Firstpage :
192
Lastpage :
192
Abstract :
This paper was written in reaction to a body of literature on continious parameter tracking that has by and large ignored the use of continuous regression techniques introduced by A. I. Rubin in an earlier paper.1The case for the use of continuous regression in the parameter tracking problem is presented in a concise and professional manner. A distinction is made between t, the "real world time" employed in the formulation of the model, and in the development of the regression performance measure, and τ, the "data processing time" employed in the steepest descent circuits that are performing the minimization of the performance measure with respect to the parameters. This distinction is an important contribution, both analytically and conceptually, to the parameter identification literature; the authors\´ belief that other workers in the field might profit from this distinction is well founded.
Keywords :
Analog computers; Analytical models; Circuit simulation; Computational modeling; Computer errors; Data processing; Ferroresonance; Parameter estimation; Performance evaluation; Regression analysis;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.1968.229088
Filename :
1687316
Link To Document :
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