• DocumentCode
    894563
  • Title

    A unifying passivity framework for network flow control

  • Author

    Wen, John T. ; Arcak, Murat

  • Author_Institution
    Dept. of Electr., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    49
  • Issue
    2
  • fYear
    2004
  • Firstpage
    162
  • Lastpage
    174
  • Abstract
    Network flow control regulates the traffic between sources and links based on congestion, and plays a critical role in ensuring satisfactory performance. In recent studies, global stability has been shown for several flow control schemes. By using a passivity approach, this paper presents a unifying framework which encompasses these stability results as special cases. In addition, the new approach significantly expands the current classes of stable flow controllers by augmenting the source and link update laws with passive dynamic systems. This generality offers the possibility of optimizing the controllers, for example, to improve robustness in stability and performance with respect to time delays, unmodeled flows, and capacity variation.
  • Keywords
    delays; nonlinear control systems; optimisation; passive filters; quality of service; robust control; telecommunication congestion control; telecommunication network routing; capacity variation; flow control schemes; global stability; multiplier-based link control; multiplier-based source control; network congestion control; network flow control; network optimization; nonlinear control; passive control; passive dynamic systems; robustness; smoothing filter design; stable flow controller class; time delays; unifying passivity framework; unmodeled flows; update laws; Aggregates; Communication system control; Communication system traffic control; Constraint optimization; Delay effects; Lagrangian functions; Robust stability; Routing; Steady-state; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2003.822858
  • Filename
    1266772