Optimized Performance of Consensus algorithm in Multi Agent System Using PSO

Authors

  • Safanah Mudheher Raafat Control and System Eng.Dept., University of Technology, Baghdad - IRAQ
  • Ahmed Mudheher Hasan Control and System Eng.Dept., University of Technology, Baghdad - IRAQ
  • Teaba Wala Aldeen Khairi Computer Science Dept., University of Technology, Baghdad - IRAQ
  • Karar Ghalib Ali Control and System Eng.Dept., University of Technology, Baghdad - IRAQ

DOI:

https://doi.org/10.29194/NJES21020292

Keywords:

Consensus algorithm, Graph theory, Multi-agent network system, Particle swarm optimization

Abstract

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.

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Published

22-04-2018

How to Cite

Raafat, S. M., Hasan, A. M., Khairi, T. W. A., & Ali, K. G. (2018). Optimized Performance of Consensus algorithm in Multi Agent System Using PSO. Al-Nahrain Journal for Engineering Sciences, 21(2), 292–299. https://doi.org/10.29194/NJES21020292

Issue

Vol. 21 No. 2 (2018): Al-Nahrain Journal for Engineering Sciences (NJES)

Section

Articles

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