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arXiv 2004.14494eess.SYcs.ITcs.SYmath.IT
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信息物理系统中自治子系统的协调与通信:一种机制学习方法

Coordination and Communication of Autonomous Subsystems in Cyber Physical Systems: A Mechanism Learning Approach

Husheng Li

摘要:

在许多自主子系统(诸如自主车辆或UAV网络)的控制中,集中控制可能受到子系统的过高复杂性、有限通信带宽或私有信息的阻碍。因此,控制中心需要通过设计定价等机制来协调子系统的控制,这使得子系统动态的局部优化也最大化整个系统的回报,即社会福利。机制设计的经济学框架被用于自治子系统的协调。为了解决传统经济学机制设计中没有考虑的动态性和私人信息的复杂性的挑战,采用几何化和机器学习的方法,通过赋予问题不同的几何结构。理论框架应用在城市空中机动性的背景下,数值模拟表明所提出的框架的有效性。

英文摘要:

In the control of many autonomous subsystems, such as autonomous vehicles or UAV networks, a centralized control may be hindered by the prohibitive complexity, limited communication bandwidth, or private information of subsystems. Therefore, it is desirable for the control center to coordinate the controls of subsystems by designing mechanisms such as pricing, which makes the local optimizations of subsystem dynamics also maximize the reward of the total system, namely the social welfare. The economics framework of mechanism design is employed for the coordination of the autonomous subsystems. To address the challenge of dynamics, which are not considered in conventional economics mechanism design, and the complexity of private information, the approaches of geometrization and machine learning are employed, by endowing different geometric structures to the problem. The theoretical framework is applied in the context of urban aerial mobility, where the numerical simulations show the validity of the proposed framework.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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