计算机应用 ›› 2013, Vol. 33 ›› Issue (10): 2757-2761.

• 网络与通信 • 上一篇    下一篇

基于有向通信拓扑的高阶分布式一致性算法

彭换新1,2,戚国庆2,盛安冬2   

  1. 1. 南京工业职业技术学院 机械工程学院,南京 210046
    2. 南京理工大学 自动化学院,南京 210094
  • 收稿日期:2013-03-20 修回日期:2013-05-13 出版日期:2013-10-01 发布日期:2013-11-01
  • 通讯作者: 彭换新
  • 作者简介:彭换新(1973-),男, 湖南涟源人,讲师,博士研究生,主要研究方向:数据融合、非线性滤波;戚国庆(1977-), 男, 安徽合肥人,副研究员,博士,主要研究方向:非线性滤波、数据融合;盛安冬(1964-), 男,浙江杭州人,研究员,博士生导师,博士,主要研究方向:导航、制导与控制。
  • 基金资助:
    国家自然科学基金资助项目;江苏省智能传感器网络工程技术研究开发中心开发基金资助项目

High-order distributed consensus algorithm under directed communication topology

PENG Huanxin1,2,QI Guoqing1,SHENG Andong1   

  1. 1. School of Automation, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China
    2. School of Mechanical Engineering, Nanjing Institute of Industry Technology, Nanjing Jiangsu 210046, China;
  • Received:2013-03-20 Revised:2013-05-13 Online:2013-11-01 Published:2013-10-01
  • Contact: PENG Huanxin

摘要: 为了提高有向通信拓扑下分布式一致性算法的收敛速度,提出了一种基于有向通信拓扑的高阶分布式一致性算法。该算法通过有向单跳通信,利用有向二跳邻接节点的前多步信息提高分布式一致性算法的收敛速度。对有向通信拓扑下该算法的收敛性能和收敛速度进行了分析和仿真比较。结果显示,该算法在满足一定条件下能收敛到初始状态的平均值,与其他同样利用二跳邻接节点信息的一致性算法相比,具有通信量小、收敛速度更快的特点,但是能容忍的最大通信延时变小。

关键词: 分布式一致性, 多智能体系统, 有向拓扑, 延时, 高阶

Abstract: In order to improve the convergence rate of distributed consensus algorithms under directed communication topologies, a high-order distributed consensus algorithm was proposed. Under directed topologies, the previous state values of two-hop adjacency nodes were utilized to improve the convergence rate based on single-hop communication. The performance and convergence rate of the high-order distributed consensus algorithm were analyzed under directed networks. The simulation results were provided to verify these analytical results. The results show that an average consensus can be reached under certain conditions, the convergence rate of the high-order algorithm is superior to the other algorithms utilizing the information of two-hop adjacency nodes, but the high-order algorithm can tolerate smaller communication time-delays than the other algorithms utilizing the information of two-hop adjacency nodes.

Key words: distributed consensus, multi-Agent system, directed topology, time-delay, high-order

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