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EAGER: Game and Teaming Strategies for Networked Systems

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2012-08-31

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中文摘要
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英文摘要
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.
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JST-NSF-RCN Joint International Workshop on Distributed Energy Management Systems, Tokyo, Japan, June 20-21, 2019
Self-organizing Control and Scalable Game-theoretical Dispatch of Distributed Generations for High-Penetration Smart Grids
Collaborative Research: Control of Atomic-Scale Friction by Normal Surface Oscillation
REU Site: Research Experience for Undergraduates in Intelligent and Autonomous Robotic Systems
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位:
基于 Nash game 法研究奇异 Itô 随机系统的 H2/H∞ 控制
  • 批准号:
    61703248
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2017
  • 负责人:
    赵勇
  • 依托单位: