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Avtomatika i Telemekhanika, 2004, Issue 2, Pages 148–156 (Mi at1527)  
This article is cited in 1 scientific paper (total in 1 paper)

Optimization od Dynamic Systems

Minimax identification of a nonlinear dynamic observation system

A. R. Pankov, A. S. Popov

Moscow Aviation Institute (State University of Aerospace Technologies)
Full-text PDF (205 kB) Citations (1)
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Abstract: Minimax optimization of the estimate of parameters of a nonlinear observation model containing random errors with unknown covariance matrices is investigated. An iteration algorithm for computing the minimax estimate is designed and its convergence is demonstrated. Theoretical results are tested by concrete examples.
Presented by the member of Editorial Board: A. I. Kibzun

Received: 27.06.2003
English version:
Automation and Remote Control, 2004, Volume 65, Issue 2, Pages 291–298
DOI: https://doi.org/10.1023/B:AURC.0000014726.04297.31
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. R. Pankov, A. S. Popov, “Minimax identification of a nonlinear dynamic observation system”, Avtomat. i Telemekh., 2004, no. 2, 148–156; Autom. Remote Control, 65:2 (2004), 291–298
Citation in format AMSBIB
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    References:42
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