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Cyber-Physical Networks: Foundations, Correct-by-Construction Control Design, and Applications

Cyber-Physical Networks: Foundations, Correct-by-Construction Control Design, and Applications
信息物理网络:基础、构造修正控制设计和应用
批准号:
RGPIN-2016-04139
负责人:
Liu, Jun
金额:
$2.62万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
翻译
未来的工程系统将以其计算和物理组件之间日益紧密的相互作用为特征。这种类型的系统被称为网络物理系统(CPS),并因其对各种工业部门的潜在影响而引起了全世界的广泛关注。虽然大多数目标CPS应用显然具有安全关键性质,例如下一代运输系统,电网和医疗设备,但如何经济地构建和有效地认证这些系统安全,可靠和高性能仍然是CPS研究的重大挑战之一。当前的实践通常严重依赖于事后验证来提供保证,这通常涉及大量的测试和模拟,通常成本很高,并且可能很快变得难以处理复杂的设计。******在上述挑战的激励下,拟议的研究计划旨在促进此类系统设计的范式转变,从传统的“设计和验证”方法转向“指定和综合”方法;也就是说,从正式的系统级规范(例如,可以用时态逻辑描述的规范)开始,并寻求设计满足通过构造编码在规范中的期望属性的系统(称为按构造正确的设计)。******提出的研究是在控制工程,计算机科学和应用数学的广泛接口。长期目标(5-10年)是从根本上推进对CPS的理解,并为CPS提供新的设计范式。短期目标(1-5年)是:(1)通过互联混合系统的构建模块为网络化CPS的建模和分析奠定理论基础;(2)根据严格的规范,为网络化CPS的“施工正确”控制综合开发可行的理论和可扩展的工具;(3)通过物理和数值实验证明了网络化自主机器人车辆和电力系统的结构正确设计方法。***实现上述目标的计划包括三个技术主题,并为不同研究水平的HQP培训提供了充足的空间:1)CPS中混合动力网络的建模和分析(博士1);2)网络化CPS的按构校正控制综合(PhD 2);3)特定领域CPS在机器人(硕士1,本科生)和电力系统(硕士2,本科生)中的应用。上述技术主题的分析、计算和实验方法之间的整合将为拟议的计划和HQP培训计划带来显著的附加价值。该计划中存在的跨学科挑战将提供跨越和推动混合系统,形式化方法,机器人和动力系统四个技术领域边界的机会
英文摘要
Engineered systems of the future will feature increasingly tight interactions between their computational and physical components. Systems of this type are referred to as cyber-physical systems (CPS) and have attracted considerable attention worldwide for their potential impact on a variety of industrial sectors. While most targeted CPS applications are evidently of safety-critical nature, e.g., next-generation transportation systems, power grids, and medical devices, how to affordably build and efficiently certify these systems as safe, reliable, and high performance remains one of the grand challenges of CPS research. Current practice often heavily relies on ex-post verification to deliver assurance, which typically involves extensive testing and simulations, usually at a significant cost, and may rapidly become intractable for complex designs. ******Motivated by the above challenge, the proposed research program aims to contribute to a paradigm shift in the design of such systems, from the traditional "design and verify" approach to a "specify and synthesize" approach; that is, start with a formal, system-level specification (e.g. that can be described by temporal logics) and seek to design systems that satisfy desired properties encoded in the specification by construction (known as correct-by-construction design).******The proposed research lies at the broad interface of control engineering, computer science, and applied mathematics. The long-term aim (5-10 years) is to fundamentally advance the understanding of and provide new design paradigms for CPS. The short-term objectives (1-5 years) are to: (1) lay a theoretical foundation for the modelling and analysis of networked CPS via the building blocks of interconnected hybrid systems; (2) develop enabling theories and scalable tools for the correct-by-construction control synthesis for networked CPS from rigorous specifications; and (3) demonstrate the correct-by-construction design methodology in networked autonomous robotic vehicles and electric power systems via physical and numerical experiments.***The program for achieving the above objectives consists of three technical themes and provides plenty of scope for HQP training at various levels of research: 1) Modelling and analysis of hybrid dynamical networks in CPS (PhD 1); 2) Correct-by-construction control synthesis for networked CPS (PhD 2); 3) Domain-specific CPS applications in robotics (Master 1, Undergraduates) and power systems (Master 2, Undergraduates). The integration between analytical, computational, and experimental methods across the above technical themes will bring significant added value to the proposed program and HQP training plan. The inter-disciplinary challenges present in this program will provide opportunities to cross and push the boundaries of four technical areas of hybrid systems, formal methods, robotics, and power systems.**
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会议论文
Formal Methods for Control of Cyber-Physical Systems: Theory, Algorithms, and Implementations
  • 批准号:
    RGPIN-2022-03363
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Liu, Jun
  • 依托单位:
Hybrid Systems and Control
  • 批准号:
    CRC-2021-00106
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $7.29万
  • 财政年份:
    2022
  • 负责人:
    Liu, Jun
  • 依托单位:
Cyber-Physical Networks: Foundations, Correct-by-Construction Control Design, and Applications
  • 批准号:
    RGPIN-2016-04139
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2021
  • 负责人:
    Liu, Jun
  • 依托单位:
Hybrid Systems And Control
  • 批准号:
    CRC-2016-00118
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $8.74万
  • 财政年份:
    2021
  • 负责人:
    Liu, Jun
  • 依托单位:
国内基金
海外基金
面向智能电网基础设施Cyber-Physical安全的自治愈基础理论研究
  • 批准号:
    61300132
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2013
  • 负责人:
    王竹晓
  • 依托单位: