Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2019, 1(5); doi: 10.25236/FSST.19010512.

Optimization Characteristics of BA Scale-Free Network and Consistency of Multi-Agent Systems

Author(s)

LI Xiao1, YANG Hong-yong2

Corresponding Author:
LI Xiao
Affiliation(s)

1. Engineering Institute, City College of Jinan University, Penglai 265600, China
2. School of Information Science and Engineering, Ludong University, Yantai 264025, China

Abstract

The optimization models of BA scale-free network and consistency of multi-agent system are studied. In the case of synchronization optimal network model, a delay robustness optimal BA scale-free network is built. By applying computer simulation, the convergence rates of consistency for multi-agent systems are analyzed. It is shown that the new BA scale-free models can improve the convergence rates and the delay robustness of the network. This research has a great guidance for building a optimization network of multi-agent systems.

Keywords

BA scale-free network model; Multi-agent; Consistency; Synchronization optimization; Delay robustness

Cite This Paper

LI Xiao, YANG Hong-yong. Optimization Characteristics of BA Scale-Free Network and Consistency of Multi-Agent Systems. The Frontiers of Society, Science and Technology (2019) Vol. 1 Issue 5: 63-70. https://doi.org/10.25236/FSST.19010512.

References

[1]Moreau.L(2004). Stability of continuous-time distributed consensus algorithms. Proc of CDC, no.4, p.3998-4003.
[2]Olfati-Saber. R(2006). Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans. Automatic Control, vol.51, no.3, p. 301-420.
[3]Ren.W, Beard.R.W(2005).Consensus seeking in multi-agent systems under dynamically changing interaction topologies. IEEE Trans.on Automatic Control, vol.50, no.5, p.655-660.
[4]Gazi.V, Passino.K.M(2004). Stability Analysis of Social Foraging Swarms, IEEE Trans on Systems, Man, and Cybernetics-PartB: Cybernetics, vol.34, no.1,p. 539-557.