基于规则网络模型,通过改变重连概率的取值生成不同结构的小世界网络模型,对小世界网络的特征度量参数与多智能体系统一致性的关系进行了研究.首先对多智能体系统的能量函数的收敛速度进行了分析,然后应用计算机仿真研究了小世界网络模型的重连概率、聚集系数、平均路径长度与多智能体系统一致性的关系.结果表明不同的小世界网络结构对多智能体系统的一致收敛速度具有很大影响.
Based on the regular network models,several different small-world network models are generated by changing the rewiring probability.The relationship of the features measurement parameters of small-world networks and the consensus of multi-agent systems is analyzed.By analyzing the convergence rate of the energy function on multi-agent systems,the relationship of probability of rewiring,clustering coefficient,average distance and the consistency of multi-agent systems are studied.The results show that different structure of small-world networks can affect the convergence rate of multi-agent Systems.