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CAREER: Strategic decision-making for communication and control in decentralized systems

职业：分散系统中通信和控制的战略决策

基本信息

批准号：
1750041
负责人：
Ashutosh Nayyar
金额：
$ 50.01万
依托单位：
University of Southern California
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-02-15 至 2024-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1750041&HistoricalAwards=false
关键词：
CAREER Strategic decision making communication

项目摘要

This project aims to develop a strategic decision-making framework for communication and control in dynamic decentralized systems. Centralized dynamic decision-making problems have a long history in engineering, economics and mathematics literature. Many modern systems, however, involve networks of agents making decisions in an uncertain and dynamic environment. Such decentralized systems arise in diverse application domains: infrastructure systems like power, transportation and communication networks, sensing and surveillance systems like teams of autonomous vehicles or robots, as well as networks of inter-connected devices such as the internet of things. Such systems are characterized by presence of multiple agents/decision-makers that have incomplete information about their environment, limited abilities to communicate with each other and that still have to make decisions that may affect the overall system. These systems have to contend with two key aspects of decentralization: (i) Decentralization of information, and (ii) Decentralization of decision-making. The decentralization of information and decision-making creates the need for communication. This communication may be limited, unreliable and imperfect. Decision-makers need to adapt to their communication environment. On the other hand, communication itself may require decision-making such as deciding when and with whom to communicate and what information to communicate. Thus, communication and decision-making are intimately coupled in decentralized systems. The overarching goal of the proposed research is to investigate this interplay of communication and control/decision-making that arises in decentralized systems operating in dynamic and uncertain environments. The technological and societal impacts of the proposed research will come through the development of new theoretical tools for communication and control in decentralized systems that will impact many applications and industries including: sensing and surveillance systems, robotics, smart grid, communication networks, urban infrastructure maintenance, and cyber-physical security. The educational impact of the project will come through the training of graduate students and engagement with local high-school students through school visits and/or on-campus events.The focus of the proposed research will be on strategic decision-making which requires identification of decision strategies for agents that allow them to respond to real-time information about unfolding events in their environment in order to optimize the performance of a decentralized dynamic system. The proposed work will address fundamental questions regarding control and decision-making in decentralized systems operating in uncertain and dynamic environments. In particular, it will explore characterization and computation of decision strategies in the following domains: decentralized stochastic control with unreliable and imperfect communication among controllers, minimax decision and control problems in decentralized systems, joint optimization of real-time coding, communication scheduling and control strategies for decentralized control. The fruits of this research will potentially constitute an important step in the further understanding of the interplay of information, communication and decision-making in dynamic decentralized systems.

该项目旨在为动态分散系统中的通信和控制制定战略决策框架。集中动态决策问题在工程、经济学和数学文献中有着悠久的历史。然而，许多现代系统涉及在不确定和动态环境中做出决策的代理网络。这种分散的系统出现在不同的应用领域：电力、交通和通信网络等基础设施系统，自动驾驶汽车或机器人团队等传感和监控系统，以及物联网等相互连接的设备网络。这种系统的特点是存在多个代理/决策者，这些代理/决策者对其环境的信息不完整，相互通信的能力有限，并且仍然必须做出可能影响整个系统的决策。这些制度必须应付权力下放的两个关键方面：（一）信息权力下放和（二）决策权力下放。信息和决策的分散产生了对交流的需要。这种沟通可能是有限的、不可靠的和不完美的。决策者需要适应他们的沟通环境。另一方面，沟通本身可能需要决策，例如决定何时与谁沟通以及沟通什么信息。因此，在分散的系统中，沟通和决策密切相关。拟议研究的总体目标是调查在动态和不确定环境中运行的分散系统中出现的通信和控制/决策的相互作用。拟议研究的技术和社会影响将通过开发用于分散系统中通信和控制的新理论工具来实现，这将影响许多应用和行业，包括：传感和监控系统、机器人、智能电网、通信网络、城市基础设施维护和网络物理安全。该项目的教育影响将通过对研究生的培训以及通过学校访问和/或校园活动与当地高中生的接触来实现。拟议研究的重点将放在战略决策上，这需要确定代理的决策策略，使它们能够响应有关其环境中展开事件的实时信息，以优化分散动态系统的性能。拟议的工作将处理有关在不确定和动态环境中运作的分散系统的控制和决策的基本问题。特别是，它将探讨以下领域的决策策略的表征和计算：控制器之间不可靠和不完全通信的分散随机控制，分散系统中的最小和最大决策和控制问题，实时编码的联合优化，分散控制的通信调度和控制策略。这项研究的成果将有可能成为进一步了解动态分散系统中信息、通讯和决策的相互作用的重要一步。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Private Information Compression in Dynamic Games among Teams

团队动态博弈中的私有信息压缩

DOI：
10.1109/cdc45484.2021.9683479
发表时间：
2021
期刊：
2021 60th IEEE Conference on Decision and Control (CDC
影响因子：
0
作者：
Tang, Dengwang;Tavafoghi, Hamidreza;Subramanian, Vijay;Nayyar, Ashutosh;Teneketzis, Demosthenis
通讯作者：
Teneketzis, Demosthenis

Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams