一种低计算量约束联合网络Shapley值的算法

F. J. Muros, J. Maestre, E. Algaba, T. Alamo, E. Camacho
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引用次数: 4

摘要

在本文中,我们讨论了线性系统的分布式控制方案,当从控制角度的收益高于相应的通信要求时,本地控制器就会协同工作。为此,网络拓扑可能会随着时间的变化而变化,从而断开对整体性能贡献较小的所有通信链路。因此,总体控制律也发生了变化,必须适应网络拓扑所支持的信息流。整个框架可以建模为合作博弈,这允许我们应用Shapley值等工具来深入了解分布式控制问题。特别是,我们展示了另一种方法,通过使用计算效率更高的设计过程来对该值施加限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An algorithm with low computational requirements to constrain the Shapley value in coalitional networks
In this paper, we deal with a distributed control scheme for linear systems in which the local controllers work cooperatively whenever the benefits from a control perspective are higher than the corresponding communication requirements. To this end, the network topology may vary with time so that all the communication links with a minor contribution to the overall performance are disconnected. Hence, there is also a change in the overall control law, which must be adapted to the information flows enabled by the network topology. This whole framework can be modeled as a cooperative game, which allows us to apply tools such as the Shapley value to gain an insight into the distributed control problem. In particular, we show an alternative way to impose restrictions on this value by using a more computationally efficient design procedure.
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