课题基金 / 基金详情

CPS: Breakthrough: Robust Team-Triggered Coordination for Real-Time Control of Networked Cyber-Physical Systems

CPS: Breakthrough: Robust Team-Triggered Coordination for Real-Time Control of Networked Cyber-Physical Systems
CPS:突破:强大的团队触发协调,用于网络信息物理系统的实时控制
批准号:
1329619
负责人:
Jorge Cortes
金额:
$46.36万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2018-09-30

项目摘要

项目成果

Jorge Cortes的其他基金

相似基金

相关文献

中文摘要
翻译
该项目的目的是为利用网络物理系统(CPS)的协作特性进行实时控制的新方法奠定基础。大多数网络控制器不能在嵌入式数字计算机系统上实现,因为它们依赖于连续时间或同步执行,执行起来成本很高。当面对网络物理世界时,这些假设是不现实的,在网络物理世界中,计算组件和物理组件之间的交互是多路的,信息获取容易出错和延迟,并且代理调度是异步的。即使没有执行障碍,定期提供信息也会导致资源的浪费。调整控制器执行到手头的任务提供了在通信,传感和驱动方面的巨大节省的潜力。这个项目的目标是将事件和自触发控制思想结合成一个统一的方法,继承这两种模型的优点,从而实现这一机会。关键的概念新颖之处在于,智能体可以对彼此的未来状态做出承诺,并在以后决定违背承诺时发出警告。承诺提供的信息允许代理自主地确定何时需要新的信息,从而提高网络性能。网络化的信息物理系统正在改变社会与物理世界互动的方式。在智能能源、智能交通、先进制造、卫生技术和环境等越来越多具有高度社会和经济影响的领域,这一领域的进步正在扩展人类能力的范围。该项目通过开发一种新的原则方法,为网络系统高效运行和应对现实应用中存在的不确定性来源,为网络物理系统的科学和技术做出了贡献。潜在的好处是在广泛的应用领域中实时运行协作网络物理系统,具有比目前可能的更高水平的效率和鲁棒性。该项目承诺为加州大学圣地亚哥分校的新一代工程专业学生提供必要的技能培训,使他们能够处理这种多面系统和应用。该计划包括本科生参与研究、研究生监督和课程开发、向高中生推广、保留STEM学科的少数民族以及广泛的传播活动。
英文摘要
The aim of this project is to lay down the foundations of a novel approach to real-time control of networked cyber-physical systems (CPS) that leverages their cooperative nature. Most networked controllers are not implementable over embedded digital computer systems because they rely on continuous time or synchronous executions that are costly to enforce. These assumptions are unrealistic when faced with the cyber-physical world, where the interaction between computational and physical components is multiplex, information acquisition is subject to error and delay, and agent schedules are asynchronous. Even without implementation obstacles, the periodic availability of information leads to a wasteful use of resources. Tuning controller execution to the task at hand offers the potential for great savings in communication, sensing, and actuation. The goal of this project is to bring this opportunity to fruition by combining event- and self-triggered control ideas into a unified approach that inherits the best of both models. The key conceptual novelty is for agents to make promises to one another about their future states and warn each other if they later decide to break them. The information provided by promises allows agents to autonomously determine when fresh information is needed, resulting in an efficient network performance.Networked cyber-physical systems are transforming the way society interacts with the physical world. Advances in this field are extending the range of human capabilities in an increasing number of areas with high societal and economic impact, such as smart energy, intelligent transportation, advanced manufacturing, health technology, and the environment. This project contributes to the science and technology of cyber-physical systems by developing a novel principled approach for networked systems to operate efficiently and cope with the sources of uncertainty present in real-word applications. The potential benefits are real-time operation in a wide range of application domains of cooperative cyber-physical systems with a superior level of efficiency and robustness than currently possible. The project promises to contribute to the training of a new generation of engineering students at UC San Diego with the skills necessary to deal with this type of multi-faceted systems and applications. The plan includes undergraduate student involvement in research, graduate supervision and curriculum development, outreach to high-school students, retention of minorities in STEM disciplines, and broad dissemination activities.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Analysis and Control of Nonlinear Oscillatory Networks for the Design of Novel Cortical Stimulation Strategies
  • 批准号:
    2308640
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2023
  • 负责人:
    Jorge Cortes
  • 依托单位:
Collaborative Research: Closed-loop Optimization and Control of Physical Networks Subject to Dynamic Costs, Constraints, and Disturbances
  • 批准号:
    2044900
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2021
  • 负责人:
    Jorge Cortes
  • 依托单位:
Understanding Selective Recruitment in Neuronal Networks via Systems Theory
  • 批准号:
    1826065
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.33万
  • 财政年份:
    2018
  • 负责人:
    Jorge Cortes
  • 依托单位:
Self-triggered coordination of robotic networks
  • 批准号:
    1307176
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.07万
  • 财政年份:
    2013
  • 负责人:
    Jorge Cortes
  • 依托单位:
海外基金