Collaborative Research: Next Big Research Challenges in Cyber-Physical Systems
协作研究:网络物理系统的下一个重大研究挑战
基本信息
- 批准号:2131537
- 负责人:
- 金额:$ 2.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-01 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The National Science Foundation (NSF) initiated its Cyber-physical systems (CPS) program more than a decade ago. As a result, there have been many foundational solutions developed to address various research challenges in modeling, design and control of trustworthy, real-time and dependable cyber-physical platforms in different application domains. The proposed solutions in CPS technologies are transforming the way people interact with such engineered systems. While tremendous progress has been made in advancing CPS technologies, the demand for innovation across application domains is driving the need to accelerate research to keep pace. To identify and prioritize the fundamental research challenges that need to be addressed, this project will organize a workshop, where experts from different CPS domains are invited to share their thoughts on the most important current challenges and directions. The main objective of the workshop is to identify the new and important areas, where CPS researchers might be better advised to focus on. More specifically, the attendees are asked to present their vision on i) what research challenges in CPS have been addressed the best over the last decade, ii) the most important challenges that the CPS community need to focus on now, iii) the most common mistakes over the last decade of CPS research that we should avoid moving forward, and iv) the new solutions for the community (including academia, industry, and government agencies) for more effective technology transfers in coming years. The outcomes of this workshop are presented at NSF CPS PI Meeting Mini-Workshop. After these events, a takeaway summary will be prepared of the presentations and panel discussions in the form of a report to be published and shared with the CPS research community. The outcomes of the above-mentioned events will help to keep our CPS community informed about upcoming research challenges that they may choose to focus on in their future research efforts. This will indirectly improve our societal development in the long run by novel solutions developed by the CPS community to address real-world research challenges that the industry is facing nowadays. Furthermore, the discussions throughout the above-mentioned two workshops regarding challenges in educational initiatives on CPS will introduce new ideas and directions towards more cohesive CPS education and outreach strategies.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.
美国国家科学基金会(NSF)在十多年前就启动了它的网络物理系统(CPS)项目。因此,已经开发了许多基础解决方案,以应对不同应用领域中可信、实时和可靠的网络物理平台的建模、设计和控制方面的各种研究挑战。CPS技术中提出的解决方案正在改变人们与此类工程系统交互的方式。虽然在推进CPS技术方面取得了巨大进展,但对跨应用领域创新的需求正在推动加速研究以跟上步伐。为了确定和优先考虑需要解决的基础研究挑战,该项目将组织一个研讨会,邀请来自不同CPS领域的专家就当前最重要的挑战和方向分享他们的想法。研讨会的主要目标是确定新的和重要的领域,CPS研究人员可能被更好地建议关注这些领域。更具体地说,与会者被要求阐述他们对以下方面的看法:1)在过去十年中,CPS的研究挑战得到了最好的解决;2)CPS社区现在需要关注的最重要的挑战;3)过去十年中我们应该避免的最常见的错误;4)社区(包括学术界、工业界和政府机构)在未来几年实现更有效的技术转让的新解决方案。本次研讨会的成果将在NSF CPS PI会议小型研讨会上发表。在这些活动之后,将以报告的形式准备演讲和小组讨论的摘要,并与CPS研究界分享。上述事件的结果将有助于使我们的CPS社区了解即将到来的研究挑战,他们可能会选择在未来的研究工作中关注这些挑战。从长远来看,CPS社区开发的新颖解决方案将间接改善我们的社会发展,以解决该行业目前面临的现实世界的研究挑战。此外,在上述两个研讨会中,关于CPS教育举措面临的挑战的讨论将为更具凝聚力的CPS教育和推广策略引入新的思路和方向。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Miroslav Pajic其他文献
Attack-Resilient Supervisory Control of Discrete-Event Systems: A Finite-State Transducer Approach
离散事件系统的抗攻击监控:有限状态传感器方法
- DOI:
10.1109/ojcsys.2023.3290408 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Yu Wang;A. Bozkurt;Nathan Smith;Miroslav Pajic - 通讯作者:
Miroslav Pajic
Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes
具有时态逻辑约束的强化学习,用于部分可观察的马尔可夫决策过程
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Yu Wang;A. Bozkurt;Miroslav Pajic - 通讯作者:
Miroslav Pajic
Automatic Verification of Finite Precision Implementations of Linear Controllers
线性控制器有限精度实现的自动验证
- DOI:
10.1007/978-3-662-54577-5_9 - 发表时间:
2017 - 期刊:
- 影响因子:56.9
- 作者:
Junkil Park;Miroslav Pajic;O. Sokolsky;Insup Lee - 通讯作者:
Insup Lee
Detection of cyber-attacks in systems with distributed control based on support vector regression
基于支持向量回归的分布式控制系统网络攻击检测
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Dusan Nedeljkovic;Ž. Jakovljević;Z. Miljković;Miroslav Pajic - 通讯作者:
Miroslav Pajic
Efficient and Adaptive Error Recovery in a Micro-Electrode-Dot-Array Digital Microfluidic Biochip
微电极点阵列数字微流控生物芯片中的高效自适应错误恢复
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:2.9
- 作者:
Zipeng Li;Kelvin Yi;J. Mccrone;Po;K. Chakrabarty;Miroslav Pajic;Tsung;Chen - 通讯作者:
Chen
Miroslav Pajic的其他文献
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{{ truncateString('Miroslav Pajic', 18)}}的其他基金
CAREER: Foundations for Secure Control of Cyber-Physical Systems
职业:网络物理系统安全控制的基础
- 批准号:
1652544 - 财政年份:2017
- 资助金额:
$ 2.48万 - 项目类别:
Continuing Grant
Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems
协同:协作:安全和隐私意识的网络物理系统
- 批准号:
1505701 - 财政年份:2015
- 资助金额:
$ 2.48万 - 项目类别:
Continuing Grant
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