Optimized Performance of Consensus algorithm in Multi Agent System Using PSO

This paper provides a theoretical framework for analysis of consensus algorithm for multi-agent networked systems considering the role of directed information flow. Improvement of the performance of the implemented consensus algorithm has been achieved by using Particle Swarm Optimization (PSO). Con...

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Bibliographic Details
Published in:	Al-Nahrain journal for engineering sciences Vol. 21; no. 2; pp. 292 - 299
Main Authors:	Mudheher Raafat, Safanah, Mudheher Hasan, Ahmed, Wala Aldeen Khairi, Teaba, Ghalib Ali, Karar
Format:	Journal Article
Language:	English
Published:	Al-Nahrain Journal for Engineering Sciences 22-04-2018
Subjects:	Consensus algorithm Graph theory Multi-agent network system Particle swarm optimization
Online Access:	Get full text
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Summary:	This paper provides a theoretical framework for analysis of consensus algorithm for multi-agent networked systems considering the role of directed information flow. Improvement of the performance of the implemented consensus algorithm has been achieved by using Particle Swarm Optimization (PSO). Concepts of information consensus in networks and methods of convergence are applied as well. Our analysis framework is based on tools algebraic Graph Theory (GT). Simulation of multi-agent system and the performance of a consensus algorithm have been discussed. Acceleration the network while approaching the required goal has been accomplished and elimination of undesired swing that appears during the acceleration was proved.
ISSN:	2521-9154 2521-9162
DOI:	10.29194/NJES21020292