Distributed leaderless consensus algorithms for networked Euler-Lagrange systems

This article proposes and analyses distributed, leaderless, model-independent consensus algorithms for networked Euler-Lagrange systems. We propose a fundamental consensus algorithm, a consensus algorithm accounting for actuator saturation, and a consensus algorithm accounting for unavailability of...

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Bibliographic Details
Published in:International journal of control Vol. 82; no. 11; pp. 2137 - 2149
Main Author: Ren, Wei
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis Group 01.11.2009
Taylor & Francis
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ISSN:0020-7179, 1366-5820
Online Access:Get full text
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Summary:This article proposes and analyses distributed, leaderless, model-independent consensus algorithms for networked Euler-Lagrange systems. We propose a fundamental consensus algorithm, a consensus algorithm accounting for actuator saturation, and a consensus algorithm accounting for unavailability of measurements of generalised coordinate derivatives, for systems modelled by Euler-Lagrange equations. Due to the fact that the closed-loop interconnected Euler-Lagrange equations using these algorithms are non-autonomous, Matrosov's theorem is used for convergence analysis. It is shown that consensus is reached on the generalised coordinates and their derivatives of the networked Euler-Lagrange systems as long as the undirected communication topology is connected. Simulation results show the effectiveness of the proposed algorithms.
ISSN:0020-7179
1366-5820
DOI:10.1080/00207170902948027