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
Link To Document