Adaptive Systems

Identification and design of experiments in a quasilinear regression problem

P. P. Gusak

Moscow

Abstract: The paper is concerned with evaluation of the parameters of a quasilinear regression model in controlled experiment, the data on the mathematical description of the experiment possibly incomplete. The results are a recurrent estimate of the parameters which optimizes a minimax criterion, a recurrently computed upperbound of the covariance matrix, and algorithms for choice of the design of the next experiment for optimizing the evaluation performance on the knowledge of current observations.

UDC: 62-501.72


Received: 06.02.1984

 English version: Automation and Remote Control, 1985, 46, 226–232

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