计算机应用 ›› 2019, Vol. 39 ›› Issue (4): 1240-1246.DOI: 10.11772/j.issn.1001-9081.2018081824

• 应用前沿、交叉与综合 • 上一篇    

基于模型参考的异构多智能体平均一致性

于家兴1, 魏海平1, 金丽娜1, 魏宇峰2   

  1. 1. 辽宁石油化工大学 计算机与通信工程学院, 辽宁 抚顺 113001;
    2. 中国石油天然气股份有限公司 河北张家口销售公司, 河北 张家口 075000
  • 收稿日期:2018-09-05 修回日期:2018-10-14 发布日期:2019-04-10 出版日期:2019-04-10
  • 通讯作者: 魏海平
  • 作者简介:于家兴(1992-),男,辽宁抚顺人,硕士研究生,主要研究方向:多智能体系统;魏海平(1964-),男,河北张北人,教授,主要研究方向:网络安全、信息安全;金丽娜(1985-),女,辽宁大连人,讲师,博士,主要研究方向:多智能体系统;魏宇峰(1984-),男,河北张家口人,主要研究方向:电子商务。
  • 基金资助:
    辽宁省博士科研启动基金资助项目(201601321);辽宁省教育厅科学研究项目(L2016011);辽宁省教育科学"十三五"规划立项课题(JG18DA013);辽宁石油化工大学科研启动基金资助项目(2016XJJ-033)。

Average consensus of heterogeneous multi-agent based on model reference

YU Jiaxing1, WEI Haiping1, JIN Lina1, WEI Yufeng2   

  1. 1. School of Computer and Communication Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China;
    2. Zhangjiakou Marketing Company, PetroChina Company Limited, Zhangjiakou Hebei 075000, China
  • Received:2018-09-05 Revised:2018-10-14 Online:2019-04-10 Published:2019-04-10
  • Supported by:
    This work is partially supported by the Doctoral Scientific Research Startup Foundation of Liaoning Province (201601321), the Scientific Research Project of Liaoning Provincial Department of Education (L2016011), the Liaoning Education Scientific "13th Five-Year Plan" Project (JG18DA013), the Liaoning Shihua University Scientific Research Startup Fund (2016XJJ-033).

摘要: 针对参数未知的异构线性多智能体系统,在无向或平衡有向网络下提出一种固定输出平均一致性协议,使得每个智能体的输出达到它们初始输出的平均值。首先,网络中每个智能体都被建模成阶数不同且相关度为1或2的未知线性系统,并根据自身及其邻居节点的输出更新其状态;其次,基于模型参考控制方法,对不同相关度的智能体定义相对应的模型;最后,提出一致性协议使每个智能体的输出收敛至其参考模型的输出,即达到固定输出平均一致。仿真实验利用了一个说明性的例子验证了所提协议的有效性和收敛性。

关键词: 多智能体系统, 异构, 参数未知, 平均一致性, 模型参考

Abstract: Focusing on heterogeneous linear Multi-Agent System (MAS) with unknown parameters, a fixed output average consensus protocol was proposed in undirected or balanced directed network to make the output of each agent reach the average of their initial output. Firstly, each agent in the network was modeled as an unknown linear system with different order and correlation of 1 or 2, which state was updated according to the output of its own and neighboring nodes. Then, based on the model reference control method, the corresponding models were defined for the agents with different correlations. Finally, a consesus protocol was proposed to converge the output of each agent to the output of its reference model, achieving the average consesus of fixed output. The simulation with an illustrative example demonstrates the effectiveness and convergence of the proposed protocol.

Key words: Multi-Agent System (MAS), heterogeneity, parameter unknown, average consensus, model reference

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