Title :
Weak stationary solution of a G/G/1/∞ queue controlled by IPA-based SA with constant stepsize
Author_Institution :
Dept. of Syst. Sci., Kyoto Univ., Japan
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;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.758541