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Avtomatika i Telemekhanika, 2004, Issue 12, Pages 85–93 (Mi at1675)  
This article is cited in 5 scientific papers (total in 5 papers)

Stochastic Systems

Digital identification of nonlinear dynamic systems

V. M. Chadeev

Institute of Control Sciences, Russian Academy of Sciences
Full-text PDF (187 kB) Citations (5)
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Abstract: An algorithm for designing conditional regression models of nonlinear dynamic systems is described. The complexity of the model is evaluated using the properties of data digital representation. The identification algorithm automatically chooses a structure for a system. Algorithms for complete and incomplete experiments are described. An example is given.
Presented by the member of Editorial Board: B. T. Polyak

Received: 15.01.2002
English version:
Automation and Remote Control, 2004, Volume 65, Issue 12, Pages 1938–1945
DOI: https://doi.org/10.1023/B:AURC.0000049878.08882.21
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. M. Chadeev, “Digital identification of nonlinear dynamic systems”, Avtomat. i Telemekh., 2004, no. 12, 85–93; Autom. Remote Control, 65:12 (2004), 1938–1945
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2004/i12/p85
    • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Abstract page:292
    Full-text PDF :126
    References:36
    First page:2
     
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