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Avtomatika i Telemekhanika, 2016, Issue 10, Pages 3–39 (Mi at14355)  
This article is cited in 37 scientific papers (total in 37 papers)

Surveys

Problems and methods of network control

A. V. Proskurnikovabc, A. L. Fradkovbac

a St. Petersburg State University, St. Petesrburg, Russia
b ITMO University, St. Petersburg, Russia
c Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, St. Petersburg, Russia
Full-text PDF (818 kB) Citations (37)
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Abstract: Control of networks (or networked systems) is an emerging area of the modern automatic control theory. It is characterized by cobination of a classical control theory apparatus (linear systems, nonlinear systems, robust control, etc) with new mathematical ideas coming mainly from graph theory. Methods of control of networks allow to solve the analysis and design problems for complex systems arising in physics, biology, economy, sociology and engineering. In the survey the main directions of the modern control of networks are presented as well as the formulations of its key results, mostly published during the last decade.
Funding agency Grant number
Russian Foundation for Basic Research 14-08-01015
Saint Petersburg State University 6.38.230.2015
Russian Science Foundation 14-29-00142
This work was supported by the Russian Foundation for Basic Research, project no. 14-08-01015 and St. Petersburg State University, project no. 6.38.230.2015. The fast gradient algorithm (35) for achieving consensus in networks of nonlinear agents has been proposed at IPME RAS with exclusive support of the Russian Science Foundation, project no. 14-29-00142.
Presented by the member of Editorial Board: V. M. Vishnevsky

Received: 27.01.2016
English version:
Automation and Remote Control, 2016, Volume 77, Issue 10, Pages 1711–1740
DOI: https://doi.org/10.1134/S0005117916100015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Proskurnikov, A. L. Fradkov, “Problems and methods of network control”, Avtomat. i Telemekh., 2016, no. 10, 3–39; Autom. Remote Control, 77:10 (2016), 1711–1740
Citation in format AMSBIB
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    • This publication is cited in the following 37 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    References:85
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