CPS: Breakthrough: Design of Network Dynamics for Strategic Team-Competition

CPS：突破：战略团队竞争的网络动力学设计

• 批准号: 1544953
• 负责人: Carolyn Beck
• 金额: $ 50万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1544953&HistoricalAwards=false
• 关键词: CPS; Breakthrough; Design; Network; Dynamics

Over the past decade there has been a growing awareness and interest in large networked systems such as those presented by power (smart-grid), communication, biological, social and sensor networks. A large body of research focused on networked systems has resulted where the primary goal has been the design of strategies by which individual agents in a network cooperate to achieve coordinated goals. Less studied are competitive-strategic scenarios where agents may be competing while trying to achieve their objectives, or may be competing in teams using local communications for local coordination purposes. This project considers the competitive-strategic domain for two opposing teams, motivated by applications that can abstractly be viewed as a competition between a large collection of autonomous agents, and an adversarial agent or team of adversaries. A primary example is the problem of controlling a large wind farm composed of numerous turbines: each rotating blade creates a downstream wake and every turbine faces the problem of setting an appropriate rotation speed under complex aerodynamic interactions. The cooperative control problem is to determine rotation speeds for the individual turbines that maximize the total collective energy extracted from the wind, under wake effects from neighboring turbines and difficult-to-predict variations in wind speeds and directions. In this example, the Principal Investigators propose to address a generalization of the problem where the turbines are viewed as competing against nature, which continually and adversarial changes the wind speed at each turbine. Ongoing with the analytical and applications-oriented research efforts will be the development of educational programs with interdisciplinary activities in optimization, mathematical systems theory, game theory and clustering algorithms. Both graduate and undergraduate students will be involved, with an emphasis on attracting students from underrepresented groups to participate in the research activities throughout the duration of the project.

在过去的十年中，人们对大型网络系统的认识和兴趣不断增长，例如电力（智能电网）、通信、生物、社会和传感器网络所呈现的系统。 大量针对网络系统的研究的主要目标是设计策略，网络中的各个代理通过这些策略进行合作以实现协调的目标。 研究较少的是竞争战略场景，在这些场景中，代理可能会在试图实现其目标的同时进行竞争，或者可能会使用本地通信来进行团队竞争以实现本地协调目的。 该项目考虑了两个对立团队的竞争战略领域，其动机是应用程序，这些应用程序可以抽象地视为大量自主代理与敌对代理或对手团队之间的竞争。 一个主要的例子是控制由众多涡轮机组成的大型风电场的问题：每个旋转叶片都会产生下游尾流，并且每个涡轮机都面临着在复杂的空气动力相互作用下设置适当转速的问题。 协同控制问题是确定各个涡轮机的旋转速度，在相邻涡轮机的尾流效应以及难以预测的风速和风向变化的情况下，最大化从风中提取的总集体能量。 在这个例子中，主要研究人员建议解决问题的一般化，即涡轮机被视为与自然竞争，自然不断地、对抗性地改变每个涡轮机的风速。 持续进行分析和应用导向的研究工作，将开发具有优化、数学系统理论、博弈论和聚类算法等跨学科活动的教育项目。 研究生和本科生都将参与其中，重点是吸引代表性不足群体的学生在整个项目期间参与研究活动。