CPS: Medium: Safety-Critical Cyber-Physical Systems: From Validation & Verification to Test & Evaluation

CPS:中:安全关键的网络物理系统:来自验证

基本信息

  • 批准号:
    1932091
  • 负责人:
  • 金额:
    $ 119.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

The goal of this project is to advance the state of the art in autonomous Cyber-Physical Systems (CPS) by integrating tools from computer science and control theory. With the rise in deployment of autonomous CPS--from automotive to aerospace to robotic systems--there is a pressing need to verify and validate properties of these systems and thereby ensure their safe operation. The work will help establish the scientific basis for test and evaluation methods applicable to CPS, especially as they interact with other agents and the world in highly dynamic ways. This has the potential to inform the development and deployment of complex CPS in a variety of application domains: from (semi-) autonomous cars, to safety features in aviation, to robotic systems for industrial applications and space exploration. The appeal of dynamic CPS will be utilized to broaden participation in computing and engineering.The vision of this project is to establish the scientific foundations for the verification and validation of highly dynamic safety-critical CPS operating in complex environments. The key novelty is a rigorous approach that leverages control barrier functions on the underlying nonlinear dynamics to provide guarantees of set invariance yielding: safety-critical abstractions on which to specify and verify desired properties, formal methods certifying system-level designs against those properties, and design rules that allow adaptation and machine learning to be integrated with control barrier functions thereby preserving system safety and performance specifications. Proof-of-concept experimental demonstrations will be performed on CPS that are autonomous, dynamic and safety-critical, e.g., robotic systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目的目的是通过整合计算机科学和控制理论的工具来推进自动网络物理系统(CPS)的最新技术。随着自动cps的部署的增加 - 从航空航天到机器人系统 - 迫切需要验证和验证这些系统的属性,从而确保它们的安全操作。这项工作将有助于建立适用于CPS的测试和评估方法的科学基础,尤其是当它们以高度动态的方式与其他代理商和世界互动时。这有可能告知各种应用领域中复杂CP的开发和部署:从(半)自动驾驶汽车到航空的安全功能,再到用于工业应用和太空勘探的机器人系统。动态CP的吸引力将用于扩大计算和工程的参与。该项目的愿景是为在复杂环境中运行的高度动态安全关键的CPS验证和验证建立科学基础。主要新颖性是一种严格的方法,该方法利用基础非线性动力学的控制屏障功能提供了设置不变性屈服的保证:安全至关重要的抽象来指定和验证所需的属性,正式的方法认证系统级别的属性,并针对这些属性和设计规则,以适应和机器学习的安全性和机器的安全性,并具有控制性的保障范围。概念验证实验示范将对自主,动态和安全至关重要的CP进行,例如机器人系统。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的智力优点和更广泛影响的审查标准通过评估来获得支持的。

项目成果

期刊论文数量(52)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
  • DOI:
    10.48550/arxiv.2212.06253
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Prithvi Akella;Skylar X. Wei;J. Burdick;A. Ames
  • 通讯作者:
    Prithvi Akella;Skylar X. Wei;J. Burdick;A. Ames
Model-Free Safety-Critical Control for Robotic Systems
  • DOI:
    10.1109/lra.2021.3135569
  • 发表时间:
    2022-04-01
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Molnar, Tamas G.;K. Cosner, Ryan;D. Ames, Aaron
  • 通讯作者:
    D. Ames, Aaron
The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms
  • DOI:
    10.1109/tac.2022.3210871
  • 发表时间:
    2021-08
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Ugo Rosolia;Yuxiao Chen;S. Daftry;M. Ono;Yisong Yue;A. Ames
  • 通讯作者:
    Ugo Rosolia;Yuxiao Chen;S. Daftry;M. Ono;Yisong Yue;A. Ames
A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems
  • DOI:
    10.1109/lcsys.2021.3136465
  • 发表时间:
    2024-03
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Devansh R. Agrawal;Hardik Parwana;Ryan K. Cosner;Ugo Rosolia;A. Ames;Dimitra Panagou
  • 通讯作者:
    Devansh R. Agrawal;Hardik Parwana;Ryan K. Cosner;Ugo Rosolia;A. Ames;Dimitra Panagou
Safety-Critical Coordination for Cooperative Legged Locomotion via Control Barrier Functions
通过控制屏障功能实现协作腿式运动的安全关键协调
  • DOI:
    10.1109/iros55552.2023.10341987
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kim, Jeeseop;Lee, Jaemin;Ames, Aaron D.
  • 通讯作者:
    Ames, Aaron D.
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Aaron Ames其他文献

Aaron Ames的其他文献

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{{ truncateString('Aaron Ames', 18)}}的其他基金

Collaborative Research: Intelligent and Agile Robotic Legged Locomotion in Complex Environments: From Planning to Safety and Robust Control
协作研究:复杂环境下智能敏捷的机器人腿式运动:从规划到安全和鲁棒控制
  • 批准号:
    1923239
  • 财政年份:
    2019
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
NRI: FND: COLLAB: Hierarchical Safe, and Distributed Feedback Control of Multiagent Legged Robots for Cooperative Locomotion and Manipulation
NRI:FND:COLLAB:用于协作运动和操纵的多智能腿机器人的分层安全分布式反馈控制
  • 批准号:
    1924526
  • 财政年份:
    2019
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
CPS: Frontier: Collaborative Research: Correct-by-Design Control Software Synthesis for Highly Dynamic Systems
CPS:前沿:协作研究:高动态系统的设计正确控制软件综合
  • 批准号:
    1724457
  • 财政年份:
    2017
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Continuing Grant
NRI: Collaborative Research: Unified Feedback Control and Mechanical Design for Robotic, Prosthetic, and Exoskeleton Locomotion
NRI:协作研究:机器人、假肢和外骨骼运动的统一反馈控制和机械设计
  • 批准号:
    1724464
  • 财政年份:
    2017
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
CAREER: Closing the Loop on Walking: From Hybrid Systems to Bipedal Robots to Prosthetic Devices and Back
职业生涯:关闭步行循环:从混合系统到双足机器人,再到假肢装置,然后再返回
  • 批准号:
    1600803
  • 财政年份:
    2015
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Continuing Grant
CPS: Frontier: Collaborative Research: Correct-by-Design Control Software Synthesis for Highly Dynamic Systems
CPS:前沿:协作研究:高动态系统的设计正确控制软件综合
  • 批准号:
    1562236
  • 财政年份:
    2015
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Continuing Grant
CPS: Medium: Collaborative Research: A CPS Approach to Robot Design
CPS:媒介:协作研究:机器人设计的 CPS 方法
  • 批准号:
    1562232
  • 财政年份:
    2015
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
NRI: Collaborative Research: Unified Feedback Control and Mechanical Design for Robotic, Prosthetic, and Exoskeleton Locomotion
NRI:协作研究:机器人、假肢和外骨骼运动的统一反馈控制和机械设计
  • 批准号:
    1526519
  • 财政年份:
    2015
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
CPS: Frontier: Collaborative Research: Correct-by-Design Control Software Synthesis for Highly Dynamic Systems
CPS:前沿:协作研究:高动态系统的设计正确控制软件综合
  • 批准号:
    1239055
  • 财政年份:
    2013
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Continuing Grant
CPS: Medium: Collaborative Research: A CPS Approach to Robot Design
CPS:媒介:协作研究:机器人设计的 CPS 方法
  • 批准号:
    1136104
  • 财政年份:
    2011
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant

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相似海外基金

Collaborative Research: CPS: Medium: Enabling Data-Driven Security and Safety Analyses for Cyber-Physical Systems
协作研究:CPS:中:为网络物理系统实现数据驱动的安全和安全分析
  • 批准号:
    2414176
  • 财政年份:
    2023
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Developing Data-driven Robustness and Safety from Single Agent Settings to Stochastic Dynamic Teams: Theory and Applications
CPS:中:协作研究:从单代理设置到随机动态团队开发数据驱动的鲁棒性和安全性:理论与应用
  • 批准号:
    2240982
  • 财政年份:
    2023
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
Collaborative Research: CPS: Medium: Co-Designed Control and Scheduling Adaptation for Assured Cyber-Physical System Safety and Performance
协作研究:CPS:中:共同设计控制和调度适应,以确保网络物理系统的安全和性能
  • 批准号:
    2229290
  • 财政年份:
    2023
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Developing Data-driven Robustness and Safety from Single Agent Settings to Stochastic Dynamic Teams: Theory and Applications
CPS:中:协作研究:从单代理设置到随机动态团队开发数据驱动的鲁棒性和安全性:理论与应用
  • 批准号:
    2240981
  • 财政年份:
    2023
  • 资助金额:
    $ 119.92万
  • 项目类别:
    Standard Grant
Collaborative Research: CPS: Medium: Co-Designed Control and Scheduling Adaptation for Assured Cyber-Physical System Safety and Performance
协作研究:CPS:中:共同设计控制和调度适应,以确保网络物理系统的安全和性能
  • 批准号:
    2229136
  • 财政年份:
    2023
  • 资助金额:
    $ 119.92万
  • 项目类别:
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