中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Coupling based estimation approaches for the average reward performance potential in Markov chains

文献类型:期刊论文

作者Li, Yanjie; Wu, Xinyu; Lou, Yunjiang; Chen, Haoyao; Li, Jiangang
刊名AUTOMATICA
出版日期2018
文献子类期刊论文
英文摘要Performance potential is an important concept in the sensitivity analysis of Markov chains. The estimation of performance potential provides the basis for the simulation-based optimization and sensitivity analysis of Markov chains. In this study, we present novel estimation approaches for the average reward (or cost) performance potential by combining perturbation realization factors and coupling techniques for Markov chains with finite state space. These approaches can effectively implement estimation with geometric variance reduction for average reward performance potential. Meanwhile, a number of coupling methods, including two optimal coupling methods, can be applied to further reduce estimation variance or simulation time. The numerical tests show that our approaches can significantly enhance the simulation efficiency. (C) 2018 Elsevier Ltd. All rights reserved.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/13669]  
专题深圳先进技术研究院_集成所
推荐引用方式
GB/T 7714
Li, Yanjie,Wu, Xinyu,Lou, Yunjiang,et al. Coupling based estimation approaches for the average reward performance potential in Markov chains[J]. AUTOMATICA,2018.
APA Li, Yanjie,Wu, Xinyu,Lou, Yunjiang,Chen, Haoyao,&Li, Jiangang.(2018).Coupling based estimation approaches for the average reward performance potential in Markov chains.AUTOMATICA.
MLA Li, Yanjie,et al."Coupling based estimation approaches for the average reward performance potential in Markov chains".AUTOMATICA (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。