Decentralized stochastic control: information structures, communication, and learning

分散随机控制：信息结构、通信和学习

• 批准号: RGPIN-2016-05165
• 负责人: Mahajan, Aditya
• 金额: $ 3.28万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637378
• 关键词: Decentralized; stochastic; control; information; structures

The objective of the proposed research program is to develop a systematic methodology for the optimal control of decentralized systems where all agents have a common objective. Such systems arise in almost all modern technologies, including networked control systems, communication networks, sensor and surveillance networks, environmental remote sensing, smart grids, transportation networks, monitoring and diagnostic systems, and robotics. The reason that decentralized control problems arise in these varied applications is that it is not always technologically or economically feasible to share all pertinent information with a single agent. While this is true, it is feasible to share some pertinent information among a subset of agents. In this research program we investigate how such information sharing simplifies the design of decentralized systems.

拟议的研究计划的目标是开发一个系统的方法，分散系统的最优控制，所有代理人都有一个共同的目标。这种系统出现在几乎所有的现代技术中，包括网络控制系统、通信网络、传感器和监控网络、环境遥感、智能电网、交通网络、监测和诊断系统以及机器人技术。在这些不同的应用中出现分散控制问题的原因是，与单个代理共享所有相关信息在技术上或经济上并不总是可行的。虽然这是真的，但在代理的子集之间共享一些相关信息是可行的。在这个研究项目中，我们将研究这种信息共享如何简化分散系统的设计。