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  • 标题:Symmetric Monotone Embedding of Traffic Flow Networks with First-In-First-Out Dynamics
  • 本地全文:下载
  • 作者:Samuel Coogan ; Samuel Coogan ; Murat Arcak
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:18
  • 页码:642-647
  • DOI:10.1016/j.ifacol.2016.10.238
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract: We study a flow network model for vehicular traffic that captures congestion effects at diverging junctions. Standard approaches which rely on monotonicity of the flow dynamics do not immediately apply to such first-in-first-out models. The network model nonetheless exhibits a mixed monotonicity property. Mixed monotonicity enables the original system to be embedded in a system of twice the dimension that is monotone and symmetric. The dynamics of the original system are recovered on a subspace of the embedding system, and we prove global asymptotic stability for a class of networks by considering convergence properties of the embedding system.
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