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Avtomatika i Telemekhanika, 2017, Issue 2, Pages 99–114 (Mi at14686)  
This article is cited in 7 scientific papers (total in 7 papers)

Control in Social Economic Systems, Medicine, and Biology

Control for a system of linear agents based on a high order adaptation algorithm

S. I. Tomashevichab

a St. Petersburg National Research University of Information Technologies, Mechanics, and Optics, St. Petersburg, Russia
b Institute of Problems of Mechanical Engineering, St. Petersburg, Russia
Full-text PDF (915 kB) Citations (7)
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Abstract: We solve the problem of synchronizing a network of linear agents with unknown parameters and unknown network topology given that the Laplacian that defines it has no complex eigenvalues. To solve this problem, we use a modified high order adaptation algorithm. We obtain conditions for reaching consensus with the proposed algorithm. We show modeling results that demonstrate the efficiency of the proposed approach.
Keywords: multiagent systems, Laplacian, decentralized control, matrix of connections, adaptation algorithm.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 074-U01
Russian Foundation for Basic Research 14-08-01015
Russian Science Foundation 14-29-00142
This work was supported by the Government of the Russian Federation, project no. 074-U01, and Russian Foundation for Basic Research, project no. 14-08-01015. Design of the adaptive network control algorithm (Section 3) was performed at the IPME RAS and supported exclusively by the Russian Science Foundation, project no. 14-29-00142.
Presented by the member of Editorial Board: A. L. Fradkov

Received: 13.02.2015
English version:
Automation and Remote Control, 2017, Volume 78, Issue 2, Pages 276–288
DOI: https://doi.org/10.1134/S0005117917020072
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. I. Tomashevich, “Control for a system of linear agents based on a high order adaptation algorithm”, Avtomat. i Telemekh., 2017, no. 2, 99–114; Autom. Remote Control, 78:2 (2017), 276–288
Citation in format AMSBIB
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    • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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