This article is cited in 1 paper

Estimation in Systems

Experiment design in guaranteed identification

M. I. Gusev

Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences

Abstract: Consideration was given to the optimal choice of inputs at identification of the control system parameters from the results of measurements under the assumption that the a priori information about the uncertain parameters and measurement errors is confined to the admissible limits of their variations. The problem of identification is considered within the framework of the minimax (guaranteed) approach; optimization of input is oriented to improving the accuracy of estimation of the uncertain system parameters. The integral of the system information (function) is used as a criterion characterizing the quality of estimation.

PACS: 02.30.Yy

Presented by the member of Editorial Board: A. I. Kibzun

Received: 14.12.2006

 English version: Automation and Remote Control, 2007, 68:11, 1945–1958

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