• DocumentCode
    337077
  • Title

    Weak stationary solution of a G/G/1/∞ queue controlled by IPA-based SA with constant stepsize

  • Author

    Miyoshi, Naoto

  • Author_Institution
    Dept. of Syst. Sci., Kyoto Univ., Japan
  • Volume
    2
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    1716
  • Abstract
    We consider a single-server queue with stationary ergodic input and parameterized service time distribution. The real parameter of service time distribution is dynamically updated according to the Robbins-Monro stochastic approximation (SA) procedure coupled with infinitesimal perturbation analysis (IPA) type estimates, where the stepsize in stochastic approximation is constant. For both the cases where the parameter is updated per every customer and per every fixed number of customers, it is shown that there exists a stationary solution in a weak sense and some properties of the weak stationary solutions are derived
  • Keywords
    approximation theory; iterative methods; perturbation techniques; queueing theory; stochastic processes; G/G/1/∞ queue; Robbins-Monro stochastic approximation; infinitesimal perturbation analysis; parameterized service time distribution; single-server queue; stationary ergodic input; weak stationary solution; Adaptive control; Control system synthesis; Convergence; Discrete event systems; Distribution functions; Extraterrestrial measurements; Programmable control; Random variables; Stability; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.758541
  • Filename
    758541