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  • 标题:Cooperative Path Following of Autonomous Vehicles with Model Predictive Control and Event Triggered Communications ⁎
  • 本地全文:下载
  • 作者:Nguyen T. Hung ; António M. Pascoal
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:20
  • 页码:562-567
  • DOI:10.1016/j.ifacol.2018.11.031
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a solution to the problem of multiple vehicle cooperative path following (CPF) that takes explicitly into account the constraints on the vehicles inputs and the topology of the inter-vehicle communications network. The solution involves decoupling the original constrained CPF problem into two sub-problems: i) single vehicle constrained path following and ii) multi-agent system (MAS) coordination. The first is solved by adopting a sampled-data model predictive control (MPC) scheme, whereas the latter is tackled by using a distributed control law with an event triggered communication (ETC) mechanism. We show that this design methodology yields a stable closed-loop CPF system: the path following error for each vehicle is globally asymptotically stable (GAS) and the coordination errors between the vehicles are bounded. A simulation example consisting of three autonomous vehicles following a given 2D- desired formation illustrates the efficacy of the CPF strategy proposed.
  • 关键词:KeywordsCooperative Path followingEvent Triggered CommunicationsMPC
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