复杂网络特性与多智能体的一致性

摘要

对复杂网络特性与多智能体系统的一致性的关系进行研究,以BBV和BA网络模型为例,分别研究了度正相关性和度负相关性的网络模型中多智能体系统一致性的收敛速度.应用计算机仿真实例,分析了无尺度网络模型的平均距离和平均集群系数与多智能体系统一致性的影响,得到了复杂网络结构与多智能体系统一致收敛速度的关系.该研究对于构建一个多智能体网络模型具有很大指导作用.%In this paper, the convergence rate of multi-agent systems with the complex network characteristic is studied. Based on BBV and BA network models, the effects of the positive correlation and negative correlation of the degree on the consistency of multi-agent systems are studied respectively. By applying computer simulation, the impacts of the characteristic of the average distance and clustering coefficient of the scale-free networks on the convergence of multi-agent systems are analyzed, and the relationships between the convergence of multi-agent systems and the characteristic of the complex network are obtained. The study has a great help for building multi-agent network models.