.png){kind=icon}
返回
A Game Theoretical Randomized Method for Large-Scale System Partitioning
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2018.2854783.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a game theory-based partitioning algorithm for large-scale systems (LSS) is proposed. More specifically, a game over nodes is introduced in a model predictive control framework. The Shapley value of this game is used to rank the communication links of the control network based on their impact on the overall system performance. A randomized method to estimate the Shapley value of each node and also an efficient redistribution of the resulting value to the links involved are considered to relieve the combinatorial explosion issues related to LSS. Once the partitioning solution is obtained, a sensitivity analysis is proposed to give a measure of its performance. Likewise, a greedy fine tuning procedure is considered to increase the optimality of the partitioning results. The full Barcelona drinking water network is analyzed as a real LSS case study, showing the effectiveness of the proposed approach in comparison with other partitioning schemes available in the literature.
Keyword:
Coalitional control
cooperative game theory
system partitioning
randomized methods
Shapley value
large-scale systems (LSS)
drinking water networks (DWN)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
分享收藏Severity and properties of cardiac damage caused by Streptococcus pneumoniae are strain dependent.png)
PLOS ONEOAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容