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文章基本信息

  • 标题:On distributed model predictive control for vehicle platooning with a recursive feasibility guarantee
  • 本地全文:下载
  • 作者:Shengling Shi ; Mircea Lazar
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:7193-7198
  • DOI:10.1016/j.ifacol.2017.08.607
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes a distributed model predictive control algorithm for vehicle platooning and more generally networked systems in a chain structure. The distributed models of the vehicle platoon are coupled through the input of the preceding vehicles. Using the principles of robust model predictive control, the coupled input is regarded as a disturbance and the robust model predictive control algorithm proposed by [Kerrigan, 2001] is employed for every vehicle. Based on this approach, a new distributed model predictive control algorithm is proposed by communicating the inputs among the vehicles, which enlarges the feasible regions of the local controllers while recursive feasibility still holds.
  • 关键词:KeywordsDistributed model predictive controlVehicle platooningRecursive feasibilityConstrained control
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