Model Predictive Control for the Acquisition Queue and Related Queueing Networks
Model Predictive Control (MPC) is a well established method in control theory and engineering practice. It is often the method of choice for systems that need to be controlled in view of constraints. The main idea of MPC is to solve an optimization problem over a given time horizon at each control epoch,and to use the obtained solution for controlling the system until the next control epoch. In many cases this optimization problem can be formulated as a tractable quadratic programming problem. In this paper we apply MPC to discrete-time queueing networks that incorporate multiple product routes,delays,self-generated arrivals and multi-job processing. We compare our MPC-based controller to simple threshold policies and show improved performance. We take a first exploratory step towards the application of MPC to queueing networks,highlighting the method and some open problems.
Johan S.H. van Erjen Lefeber Yoni Nazarathy Jacobus E. Rooda
Leeuwaarden EURANDOM and TU/e Eindhoven,The Netherlands TU/e Eindhoven,The Netherlands EURANDOM and TU/e Eindhoven,The Netherlands
国际会议
北京
英文
85-92
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）