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Avtomatika i Telemekhanika, 2023, Issue 5, Pages 3–20
DOI: https://doi.org/10.31857/S000523102305001X
(Mi at16168)
 

Linear Systems

On the properties of orthogonal projection method for reaching consensus

R. P. Agaev, D. K. Khomutov

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
References:
Abstract: The article is devoted to an asymptotic behavior of a multi-agent system with information links. We proved that the orthogonal projection method proposed for the regularization of the consensus protocol is characterized by a pseudoinverse matrix for the introduced auxiliary matrix for an arbitrary communication digraph of a multi-agent system. We cosidered the eigenprojection of the Laplacian matrix corresponding to the communication digraph, in which the influences on the fixed agent change proportionally. We obtained a number of results that are of independent importance and can be used in models of multi-agent systems with different protocols.
Keywords: multi-agent system, consensus, eigenprojection, Laplacian matrix, communication digraph, balanced digraph.
Presented by the member of Editorial Board: M. V. Goubko

Received: 16.06.2022
Revised: 25.12.2022
Accepted: 29.12.2022
English version:
Automation and Remote Control, 2023, Volume 84, Issue 5, Pages 513–526
DOI: https://doi.org/10.25728/arcRAS.2023.22.50.001
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: R. P. Agaev, D. K. Khomutov, “On the properties of orthogonal projection method for reaching consensus”, Avtomat. i Telemekh., 2023, no. 5, 3–20; Autom. Remote Control, 84:5 (2023), 513–526
Citation in format AMSBIB
\Bibitem{AgaKho23}
\by R.~P.~Agaev, D.~K.~Khomutov
\paper On the properties of orthogonal projection method for reaching consensus
\jour Avtomat. i Telemekh.
\yr 2023
\issue 5
\pages 3--20
\mathnet{http://mi.mathnet.ru/at16168}
\crossref{https://doi.org/10.31857/S000523102305001X}
\edn{https://elibrary.ru/AFGUFJ}
\transl
\jour Autom. Remote Control
\yr 2023
\vol 84
\issue 5
\pages 513--526
\crossref{https://doi.org/10.25728/arcRAS.2023.22.50.001}
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    Abstract page:104
    References:30
    First page:15
     
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