ONLINE OPTIMIZATION FOR A FLOW-CONTROL STRATEGY

被引：3

作者：

CASSANDRAS, CG

机构：

[1] Univ of Massachusetts, Amherst, MA,, USA, Univ of Massachusetts, Amherst, MA, USA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1987年 / 32卷 / 11期

基金：

美国国家科学基金会;

关键词：

CONTROL SYSTEMS; STOCHASTIC - MATHEMATICAL TECHNIQUES - Perturbation Techniques - PROBABILITY - Queueing Theory;

D O I：

10.1109/TAC.1987.1104480

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of optimizing a threshold-dependent flow control strategy by using state information available online is considered. It is assumed that a sample realization of a queuing system using this strategy is available, for which the threshold parameter is fixed. Perturbation analysis in this case requires tracking queue lengths in addition to event times in order to obtain performance sensitivity estimates. The author formally derives perturbation equations and describes their algorithmic implementation, which requires partial state memory in the form of arrival time information. Because this may impose serious storage limitations (unless the arrival process is deterministic), a capacity constraint is imposed. The effect of this constraint on the approach is investigated and experimental results are included.

引用

页码：1014 / 1017

页数：4