Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/62131


Title: Estimation and Monitoring of Traffic Intensities with Application to Control of Stochastic Systems
Authors: 洪英超
Hung,Ying-Chao;George Michailidis;Chuang,Shih-Chung
Contributors: 統計系
Keywords: traffic intensity;EWMA smoother;control chart;control policy;stochastic systems
Date: 2012-12
Issue Date: 2013-12-04 17:40:40 (UTC+8)
Abstract: The development of optimal control strategies for many stochastic models relies on the observed traffic intensity. However, implementation of such control strategies is often infeasible because of high operating costs induced by the fluctuations of traffic flows. In this study, we propose a framework for estimating and monitoring the traffic intensities of stochastic systems. The framework does not require knowledge of any input traffic statistics, and it allows us to adaptively estimate the intensity function over time and simultaneously detect its significant changes so that the control strategy can be adjusted accordingly without requiring high operating costs. Finally, a canonical queueing system with various types of input traffic is used to evaluate the effectiveness of the proposed framework.
Relation: Applied Stochastic Models in Business and Industry, 30(2), 200-217
Data Type: article
DOI 連結: http://dx.doi.org/10.1002/asmb.1961
Appears in Collections:[教育學系] 期刊論文

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