EAGER: Game and Teaming Strategies for Networked Systems

EAGER：网络系统的游戏和团队策略

• 批准号: 0956501
• 负责人: Zhihua Qu
• 金额: $ 19.99万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0956501&HistoricalAwards=false
• 关键词: EAGER; Game; Teaming; Strategies; Networked

Theoretical and computational investigations will be launched to address fundamental issues associated with analysis, control, and design of networked physical systems forming an autonomously cooperative team in the presence of another team of adversaries. The goal of the present work is to expand the scope of the theory that was developed earlier for the specific applications scenarios to wider set of dynamic applications where game theory (and control) potentially has a role to play. The range of such potential applications is are very broad including robotics, modeling of economies, energy distribution and biomedicine.As for the technical contributions of this exploratory work one can expect results from several different perspectives. The first point of departure from traditional game theory namely that of the study of dynamic processes rather than the study of equilibria has been already mentioned. Second point of departure is that while optimal control and system theory had indeed made use of game theoretic techniques in the past, this body of literature was largely limited to linear processes. The present investigation will be far more general to include nonlinear, as well as hybrid (i.e., mixed continuous, discrete), and asynchronous systems as well. Thus, while guided by applications, developing a general theory would be expected outcome of the proposed research. A third point of departure is while earlier theories focused on obtaining analytical solutions, the results from present investigation (since it involves nonlinear processes) will of necessity be computational or algorithmic in nature.The potential societal implications of the proposed theoretical/computational work is great ranging from economics, biomedicine to defense applications. Since the PIs are in close contact with application domains and the industry the potential for transfer of innovative methods and tools to applications is tremendous. The PIs also plan to educate graduate students as well as undergraduate students on related topics.

理论和计算研究将启动，以解决与分析，控制和网络物理系统的设计相关的基本问题，形成一个自主合作的团队，在另一个对手的存在。目前的工作的目标是扩大范围的理论，早期开发的具体应用场景，以更广泛的动态应用中的博弈论（和控制）可能发挥作用。这种潜在的应用范围是非常广泛的，包括机器人，经济建模，能源分配和生物医学。至于这项探索性工作的技术贡献，人们可以从几个不同的角度期待结果。第一个出发点，从传统的博弈论，即研究动态过程，而不是研究均衡已经提到。第二个出发点是，虽然最优控制和系统理论在过去确实利用了博弈论技术，但这一系列文献在很大程度上限于线性过程。本研究将更一般地包括非线性以及混合（即，混合连续、离散）和异步系统。因此，在应用的指导下，开发通用理论将是拟议研究的预期成果。第三个出发点是，虽然早期的理论侧重于获得分析解决方案，从目前的调查结果（因为它涉及非线性过程）将必然是计算或算法的natural.The潜在的社会影响所提出的理论/计算工作是巨大的，从经济学，生物医学国防应用。由于PI与应用领域和行业有着密切的联系，因此将创新方法和工具转移到应用领域的潜力是巨大的。PI还计划在相关主题上教育研究生和本科生。