| 基于k-shell分解的多智能体牵制控制算法 |
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| 引用本文： | 何明,许元云,刘锦涛,周波,丁晓晖.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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| 作者姓名： | 何明 许元云 刘锦涛 周波 丁晓晖 |
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| 作者单位： | 解放军陆军工程大学指挥控制工程学院,南京210007;解放军94860部队,南京210000 |
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| 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). |
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| 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.
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| 关 键 词： | 多智能体 牵制控制 一致性 k-shell分解 |
Multi-agent pinning control algorithm based on k-shell decomposition |
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| HE Ming,XU Yuan-yun,LIU Jin-tao,ZHOU Bo,DING Xiao-hui.Multi-agent pinning control algorithm based on k-shell decomposition[J].Control and Decision,2020,35(10):2556-2560. |
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| Authors: | HE Ming XU Yuan-yun LIU Jin-tao ZHOU Bo DING Xiao-hui |
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| Affiliation: | Command & Control Engineering College,Army Engineering University of PLA,Nanjing210007,China; Unit 94860 of PLA,Nanjing210000,China |
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| 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. |
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