课题基金 / 基金详情

Distributed Optimization, Estimation, and Control of Networked Systems through Event-triggered Message Passing

Distributed Optimization, Estimation, and Control of Networked Systems through Event-triggered Message Passing
通过事件触发消息传递对网络系统进行分布式优化、估计和控制
批准号:
0925229
负责人:
Michael Lemmon
金额:
$29.89万
依托单位:
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:
2009-10-15 至 2013-09-30

项目摘要

项目成果

Michael Lemmon的其他基金

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中文摘要
翻译
这个项目的目标是开发事件触发的方法,用于网络动态系统的优化、估计和控制中的消息传递。先前的工作已经通过实验证明,事件触发可以在保持高水平的联网系统性能的同时大大减少通信使用量。这个项目的主要目标是开发更好地解释这些好处的原因的形式化方法,并开发更系统的方法来设计事件触发的联网系统。该项目的智能优点在于,事件触发为动力系统网络的离散化提供了坚实的理论基础。这一基础基于一个简单的想法,即只有在存在与整个系统的性能相关的新信息时,才应该在子系统之间交换消息。因此,当信息新颖性的某些内部度量超过时变和状态相关的阈值时,这种事件触发的方法会让子系统传输信息。这些阈值的设计是通过实施稳定性概念(如输入-状态稳定性或输入-输出稳定性)来完成的,这些稳定性概念受制于在整个系统内传递信息的频率的限制。这种方法的变革性在于,它有可能以一种远远超出常规奈奎斯特抽样的方式,为系统的离散化提供一种系统的方法。该项目的影响将通过与工业合作伙伴Emnet LLC和Odersian LLC的互动来扩大。Emnet LLC对在CSOnet系统上使用事件触发消息传递感兴趣,CSOnet系统是一个无线传感器-执行器网络,用于控制组合污水溢出(CSO)事件的频率。奥德赛有限责任公司对使用事件触发方法对事件触发微电网进行智能控制感兴趣。该项目的影响还将通过与对机器人系统感兴趣的中学生的互动来扩大。该项目的影响将通过与欧洲研究人员的互动进一步扩大。
英文摘要
The objective of this program is to develop event-triggered methods for message passing in the optimization, estimation, and control of networked dynamical systems. Prior work has demonstrated experimentally that event-triggering can greatly reduce communication usage while maintaining high levels of networked system performance. The main goal of this project is to develop formalisms that better explain the reason for these benefits and to develop a more systematic approach to designing event-triggered networked systems. The project's intellectual merit is that event-triggering provides a solid theoretical basis for the discretization of networks of dynamical systems. This basis is based upon the simple idea that messages between subsystems should only exchanged when there is novel information relevant to theperformance of the overall system. This event-triggered approach therefore has subsystems transmit information when some internal measure of that information's novelty exceeds a time-varying and state-dependent threshold. The design of these thresholds is accomplished by enforcing stability concepts (such as input-to-state stability or input-output stability) subject to constraints on the frequency with which information can be passed within the overall system. The transformative nature of this approach lies in its potential to provide a systematic approach to the discretization of systems in a manner that goes well beyond conventional Nyquist sampling. The project's impact will be broadened through interactions with industrial partners EmNet LLC and Odyssian LLC. EmNet LLC is interested in using event-triggered message passing on the CSOnet system, a wireless sensor-actuator network being used to control the frequency of combined seweroverflow (CSO) events. Odyssian LLC is interested in using event-triggered methods for the intelligent control of event-triggered microgrids. The project's impact will also be broadened through interactionswith middle school students interested in robotic systems. The project's impacts will be broadened further through interactions with European researchers.
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CPS: Small: Learning How to Control: A Meta-Learning Approach for the Adaptive Control of Cyber-Physical Systems
  • 批准号:
    2228092
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.32万
  • 财政年份:
    2023
  • 负责人:
    Michael Lemmon
  • 依托单位:
CPS: Synergy: Resilient Wireless Sensor-Actuator Networks
  • 批准号:
    1239222
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2012
  • 负责人:
    Michael Lemmon
  • 依托单位:
CPS: Small: Dynamically Managing the Real-time Fabric of a Wireless Sensor-Actuator Network
  • 批准号:
    0931195
  • 项目类别:
    Standard Grant
  • 资助金额:
    $52.5万
  • 财政年份:
    2009
  • 负责人:
    Michael Lemmon
  • 依托单位:
CSR-EHS:Integrating Decentralized Control and Real-Time Scheduling for Networked Dynamical Systems
  • 批准号:
    0720457
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $16.0万
  • 财政年份:
    2007
  • 负责人:
    Michael Lemmon
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: