Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics

This paper addresses the global consensus of nonlinear multiagent systems with asymmetrically coupled identical agents. By employing a Lyapunov function and graph theory, a sufficient condition is presented for the global exponential consensus of the multiagent system. The analytical result shows th...

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Main Authors: Wei Qian, Lei Wang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/407269
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author Wei Qian
Lei Wang
author_facet Wei Qian
Lei Wang
author_sort Wei Qian
collection DOAJ
description This paper addresses the global consensus of nonlinear multiagent systems with asymmetrically coupled identical agents. By employing a Lyapunov function and graph theory, a sufficient condition is presented for the global exponential consensus of the multiagent system. The analytical result shows that, for a weakly connected communication graph, the algebraic connectivity of a redefined symmetric matrix associated with the directed graph is used to evaluate the global consensus of the multiagent system with nonlinear dynamics under the common linear consensus protocol. The presented condition is quite simple and easily verified, which can be effectively used to design consensus protocols of various weighted and directed communications. A numerical simulation is also given to show the effectiveness of the analytical result.
format Article
id doaj-art-81ecb318aa074b369681b624ef912586
institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-81ecb318aa074b369681b624ef9125862025-02-03T01:09:33ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/407269407269Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear DynamicsWei Qian0Lei Wang1School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan 454000, ChinaSchool of Mathematics and Systems Science and LMIB, Beihang University, Beijing 100191, ChinaThis paper addresses the global consensus of nonlinear multiagent systems with asymmetrically coupled identical agents. By employing a Lyapunov function and graph theory, a sufficient condition is presented for the global exponential consensus of the multiagent system. The analytical result shows that, for a weakly connected communication graph, the algebraic connectivity of a redefined symmetric matrix associated with the directed graph is used to evaluate the global consensus of the multiagent system with nonlinear dynamics under the common linear consensus protocol. The presented condition is quite simple and easily verified, which can be effectively used to design consensus protocols of various weighted and directed communications. A numerical simulation is also given to show the effectiveness of the analytical result.http://dx.doi.org/10.1155/2014/407269
spellingShingle Wei Qian
Lei Wang
Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics
Abstract and Applied Analysis
title Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics
title_full Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics
title_fullStr Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics
title_full_unstemmed Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics
title_short Eigenvalue Based Approach for Global Consensus in Multiagent Systems with Nonlinear Dynamics
title_sort eigenvalue based approach for global consensus in multiagent systems with nonlinear dynamics
url http://dx.doi.org/10.1155/2014/407269
work_keys_str_mv AT weiqian eigenvaluebasedapproachforglobalconsensusinmultiagentsystemswithnonlineardynamics
AT leiwang eigenvaluebasedapproachforglobalconsensusinmultiagentsystemswithnonlineardynamics