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CPS:Medium: Safe Learning-Enabled Cyberphysical Systems

CPS：中：支持安全学习的网络物理系统

基本信息

批准号：
2038493
负责人：
Mario Sznaier
金额：
$ 87.87万
依托单位：
Northeastern University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2038493&HistoricalAwards=false
关键词：
CPS Medium Safe Learning Enabled

项目摘要

In spite of tremendous advances in machine learning, the goal of designing truly autonomous cyber-physical systems (CPS), capable of learning from and interacting with the environment to achieve complex specifications remains elusive. This research seeks to address this apparent paradox (advances in machine learning/relatively low levels of autonomy) by developing a new class of verifiable safe learning- enabled CPS, capable of adapting to previously unseen dynamic scenarios where the data is generated, and decisions must be made, as the system operates. It addresses the CPS challenges posed by the data revolution and highly dynamic systems by creating a new framework at the confluence of dynamical systems, machine learning and viability theory, specifically tailored to learning and safely acting in uncertain, data deluged scenarios.The research is organized around three tightly interacting thrusts -- R1: Joint learning of sparse latent features and manifolds, R2: Real-time inference in dynamic scenarios; and R3: Verifiable decision-making algorithms -- that exploit the underlying sparse structure induced by the dynamics of the CPS to obtain fast solutions to problems that challenge current techniques. A key feature of the proposed framework is its ability to take advantage of the tight coupling between thrusts to obtain tractable problems. Examples are low-complexity real-time inference methods that leverage parsimonious structures unveiled during learning, and control strategies that verify closed-loop properties by using these structures to recast the problem into a hybrid system analysis form.Education is proactively integrated into this project. At the pre-college level, summer STEM programs for urban high school students will be developed. Participants will explore CPS concepts and complete a final project endowing autonomous vehicles with limited learning capabilities. At the undergraduate level, ideas put forth in this proposal will be infused through the curriculum. The hallmark of the educational program will be its integration through the central metaphor of learning-enabled CPS. At the graduate level, this integrative theme across the disciplines represented by the Co-PIs will be continued, including teaching of a course that includes experiential assignments. In addition, this project will provide opportunities and support for graduate students to engage as members of an interdisciplinary team. The strategy to broaden participation is two pronged: on one hand, it will leverage, in addition to the summer STEM programs for urban youth, NUPRIME (NEU's Program in Multicultural Engineering). On the other hand, it will take advantage of the co-PIs leadership roles in their respective societies to organize events targeting high schoolers and underrepresented groups at conferences.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.

尽管机器学习取得了巨大的进步，但设计真正自主的网络物理系统（CPS）的目标仍然难以实现，这些系统能够从环境中学习并与环境交互，以实现复杂的规范。这项研究旨在通过开发一类新的可验证的安全学习支持CPS来解决这个明显的悖论（机器学习的进步/相对较低的自主水平），能够适应以前看不到的动态场景，其中数据生成，并且必须做出决策，因为系统运行。它解决了数据革命和高度动态系统带来的CPS挑战，在动力系统，机器学习和可行性理论的交汇处创建了一个新的框架，专门针对学习和安全地在不确定的，数据泛滥的场景中行动。研究围绕三个紧密互动的推力组织- R1：稀疏潜在特征和流形的联合学习，R2：动态场景中的实时推理; R3：可验证的决策算法-利用CPS动态引起的底层稀疏结构，以快速解决挑战当前技术的问题。所提出的框架的一个关键特征是它能够利用推力之间的紧密耦合来获得易于处理的问题。例如，利用学习过程中发现的简约结构的低复杂性实时推理方法，以及通过使用这些结构将问题重新转换为混合系统分析形式来验证闭环特性的控制策略。在大学预科阶段，将为城市高中学生开发夏季STEM课程。参与者将探索CPS概念，并完成一个最终项目，赋予自动驾驶汽车有限的学习能力。在本科阶段，本提案中提出的想法将通过课程注入。该教育计划的标志将是通过学习型CPS的中心隐喻进行整合。在研究生阶段，将继续以Co-PI为代表的跨学科的综合主题，包括教授包括体验式作业的课程。此外，该项目将为研究生提供机会和支持，作为跨学科团队的成员参与。扩大参与的战略是双管齐下的：一方面，除了针对城市青年的夏季STEM计划外，它还将利用NUPRIME（NEU的多元文化工程计划）。另一方面，它将利用co-PI在各自社团中的领导作用，在会议上组织针对高中生和代表性不足的群体的活动。该奖项反映了NSF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。