引用本文:何明,许元云,刘锦涛,等.基于k-shell分解的多智能体牵制控制算法[J].控制与决策,2020,35(10):2556-2560
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基于k-shell分解的多智能体牵制控制算法
何明1, 许元云1, 刘锦涛1, 周波1, 丁晓晖2
(1. 解放军陆军工程大学指挥控制工程学院,南京210007;2. 解放军94860部队,南京210000)
摘要:
针对多智能体网络在牵制控制过程中存在的网络分裂现象,考虑到牵制节点选择对多智能体收敛速度的影响,提出一种基于k-shell分解的牵制控制算法.首先根据节点连通度划分子网;然后提出基于k-shell分解的牵制节点选择方法;最后完成多智能体的牵制控制.理论推导证明,采用该算法后整个智能体网络最终将形成一个子网.分析对比3种牵制控制算法,通过实验仿真结果验证所提出算法能够实现多智能体的一致性,有利于提高多智能体的收敛速度.
关键词:  多智能体  牵制控制  一致性  k-shell分解
DOI:10.13195/j.kzyjc.2019.0173
分类号:TP273
基金项目:国家重点研发计划项目(2018YFC0806900);中国博士后科学基金项目(2018M633757);江苏省重点研发计划项目(BE2016904,BE2017616,BE2018754,BE2019762);江苏省博士后科学基金项目(2019K185).
Multi-agent pinning control algorithm based on k-shell decomposition
HE Ming1,XU Yuan-yun1,LIU Jin-tao1,ZHOU Bo1,DING Xiao-hui2
(1. Command & Control Engineering College,Army Engineering University of PLA,Nanjing210007,China;2. Unit 94860 of PLA,Nanjing210000,China)
Abstract:
Aiming at the network splitting phenomenon in the control process of multi-agent network, considering the influence of informed agent selection on the convergence speed of multi-agents, the pinning control algorithm based on k-shell decomposition is proposed. Firstly, the subnet is divided according to the node connectivity. Then, the method of selecting the informed agent based on k-shell decomposition is proposed. Finally, the pinning control of multi-agent is completed. Theoretical derivation proves that after the algorithm is adopted, the entire mutli-agent network eventually form a connected graph. The experimental results verify that the proposed algorithm can achieve the consensus of multi-agent, and benefits to improve the convergence speed compared with three pinning control algorithms.
Key words:  multi-agent  pinning control  consensus  k-shell decomposition

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