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多智能体系统的最优持久编队生成策略

罗小元 杨帆 李绍宝 关新平

罗小元, 杨帆, 李绍宝, 关新平. 多智能体系统的最优持久编队生成策略. 自动化学报, 2014, 40(7): 1311-1319. doi: 10.3724/SP.J.1004.2014.01311
引用本文: 罗小元, 杨帆, 李绍宝, 关新平. 多智能体系统的最优持久编队生成策略. 自动化学报, 2014, 40(7): 1311-1319. doi: 10.3724/SP.J.1004.2014.01311
LUO Xiao-Yuan, YANG Fan, LI Shao-Bao, GUAN Xin-Ping. Generation of Optimally Persistent Formation for Multi-agent Systems. ACTA AUTOMATICA SINICA, 2014, 40(7): 1311-1319. doi: 10.3724/SP.J.1004.2014.01311
Citation: LUO Xiao-Yuan, YANG Fan, LI Shao-Bao, GUAN Xin-Ping. Generation of Optimally Persistent Formation for Multi-agent Systems. ACTA AUTOMATICA SINICA, 2014, 40(7): 1311-1319. doi: 10.3724/SP.J.1004.2014.01311

多智能体系统的最优持久编队生成策略

doi: 10.3724/SP.J.1004.2014.01311
基金项目: 

国家重点基础研究发展计划(973计划)(2010CB731800),国家自然科学基金(61074065,61375105),河北省自然科学基金(F2012203119)资助

详细信息
    作者简介:

    杨帆 燕山大学控制理论与控制工程专业硕士研究生. 2011 年于燕山大学获得学士学位. 主要研究方向为无线传感器网络控制,多智能体协调控制.E-mail:ffanyangy@163.com

Generation of Optimally Persistent Formation for Multi-agent Systems

Funds: 

Supported by National Basic Research Program of China (973 Program) (2010CB731800), National Natural Science Foundation of China (61074065,61375105), and Natural Science Foundation of Hebei Province (F2012203119)

  • 摘要: 针对二维空间中减少智能体间通信链路的能量消耗问题,提出了一种基于最优刚性编队的最优持久编队生成算法.算法提出了针对智能体连通度数目的有向化操作方法,通过层层缩减最小刚性图范围的方式生成最优持久图,这种方法能对任意最小刚性图进行持久化,从理论上证明了算法的可操作性.仿真结果验证了算法的有效性.
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出版历程
  • 收稿日期:  2013-07-01
  • 修回日期:  2013-11-05
  • 刊出日期:  2014-07-20

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