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  • 标题:Fluid-flow modeling and stability analysis of communication networks
  • 本地全文:下载
  • 作者:Nicolás Espitia ; Antoine Girard ; Nicolas Marchand
  • 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:4534-4539
  • DOI:10.1016/j.ifacol.2017.08.727
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper deals with a fluid-flow modeling under compart mental representation of a network. The motivating example is a communication network made up of buffers and transmission lines where densities and flows of packets are viewed as macroscopic variables respecting the conservation laws. The main contribution lies in the resulting model. It is a coupled linear hyperbolic partial differential equations (PDEs) with an ordinary differential equation (ODEs) along with a dynamic boundary condition. Input-to-state stability of an optimal equilibrium is analyzed using Lyapunov techniques.
  • 关键词:KeywordsCompartmental networksFluid-flow modelingHyperbolic systems of conservation lawsLyapunov techniques
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