期刊文献+

基于WPG的无人机一致性控制算法

UAV consensus control algorithm based on WPG
下载PDF
导出
摘要 基于游走近端梯度(walk proximal gradient,WPG)提出无人机的一致性控制算法,并在高度对齐场景下进行建模实验.验证了算法在有路由与无路由两种情况下的性能,并在无路由情况下将WPG算法进行推广,且将推广的WPG算法与基于Gossip的方法相结合.实验表明,在有路由情况下,算法可在有限的迭代次数下迅速收敛,且收敛精度高;在无路由情况下,算法具有很好的收敛性,并具有很高的通信效率,可大幅减小一致性过程中的通信开销. Based on the walk proximal gradient(WPG),a cooperative control algorithm of unmanned aerial vehicle(UAV)is proposed.The modeling and experiments are finished at the specific application scenario of altitude alignment.The performances of algorithm in the cases with routing table and without routing table are verified.We generalize WPG algorithm and combine it with the Gossip-based method in the case of routing.The experimental results show that in the case of routing,the algorithm converges quickly with limited iterations and has high convergence accuracy.When without routing,the algorithm has a good convergence with the high communication efficiency,which can greatly reduce the communication overhead in consensus progress.
作者 彭浩 毛祥荟 谷源涛 王永程 王玉 PENG Hao;MAO Xianghui;GU Yuantao;WANG Yongcheng;WANG Yu(Department of Electronic Engineering,Tsinghua University,Beijing 100084,P.R.China;National Key Laboratory of Science and Technology on Blind Signal Processing,Chengdu 610041,Sichuan Province,P.R.China)
出处 《深圳大学学报(理工版)》 EI CAS CSCD 北大核心 2019年第5期497-502,共6页 Journal of Shenzhen University(Science and Engineering)
基金 国家自然科学基金资助项目(61531166005)~~
关键词 控制理论 一致性 多智能体 游走近端梯度 高度对齐 无人机 control theory consensus multi-agent system walk proximal gradient(WPG) altitude alignment unmanned aerial vehicle(UAV)
  • 相关文献

参考文献8

二级参考文献125

  • 1范弘毅.复常系数线性系统稳定性的新判据[J].沈阳建筑工程学院学报,1997,13(1):96-100. 被引量:3
  • 2马翠芹,李韬,张纪峰.离散时间大种群随机多智能体系统的线性二次分散动态博弈[J].系统科学与数学,2007,27(3):464-480. 被引量:3
  • 3俞辉,蹇继贵,王永骥.多智能体有向网络的加权平均一致性[J].微计算机信息,2007(02Z):239-241. 被引量:6
  • 4Kim B Y, Ahn H S. Distributed coordination and control for a freeway traffic network using consensus algorithms Q2[J]. IEEE System J, 2014, 99(1): 1-7.
  • 5Kar S, Moura J. Distributed consensus algorithms in sensor networks with imperfect communication: Link failures and channel noise[J]. IEEE Trans on Signal Process, 2009, 57(1): 355-369.
  • 6Aragues R, Cortes J, Sagues, C. Distributed consensus on robot networks for dynamically merging feature-based maps[J]. IEEE Trans on Robot, 2012, 28(4): 840-854.
  • 7Palomares I, Martinez L, Herrera F. A consensus model to detect and manage non-cooperative behaviors in large scale group decision making[J]. IEEE Trans on Fuzzy System, 2014, 22(3): 516-530.
  • 8Huang M, Manton J H. Coordination and consensus of networked agents with noisy measurements: Stochastic algorithms and asymptotic behavior[J]. SIAM J on Control and Optimization, 2009, 48(1): 134-161.
  • 9Huang M, Manton J H. Stochastic consensus seeking with noisy and directed inter-agent communication: Fixed and randomly varying topologies[J]. IEEE Trans on Automatic Control, 2010, 55(1): 235-241.
  • 10Li T, Zhang J. Mean square average-consensus under measurement noises and fixed topologies: Necessary and sufficient conditions[J]. Automatica, 2009, 45(8): 1929-1936.

共引文献91

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部