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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2017 Issue 2, Pages 99–114 (Mi at14686)

This article is cited 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

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.

Presented by the member of Editorial Board: A. L. Fradkov

Received: 13.02.2015


 English version:
Automation and Remote Control, 2017, 78:2, 276–288

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