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Experiment design in guaranteed identification

  • Estimation in Systems
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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.

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Authors and Affiliations

  1. Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russia

    M. I. Gusev

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  1. M. I. Gusev
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Original Russian Text © M.I. Gusev, 2007, published in Avtomatika i Telemekhanika, 2007, No. 11, pp. 61–75.

This work was supported by the Russian Foundation for Basic Research, project no. 06-01-00332, and by the program “Leading Scientific Schools,” project no. 5344.2006.1.

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Gusev, M.I. Experiment design in guaranteed identification. Autom Remote Control 68, 1945–1958 (2007). https://doi.org/10.1134/S0005117907110057

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