EFRI-ARESCI: Foundations for Reconfigurable and Autonomous Cyber-Physical Systems: Cyber-Cities and Cyber-Universities

PI：Munther A.Dahleh机构：麻省理工学院提案编号：0735956EFRI-ARESCI：可重构和自主网络物理系统的基础：网络城市和网络大学这个项目与麻省理工学院和加州理工学院的研究人员一起，专注于可自主重构的网络物理系统的新理论基础。在网络物理系统的大量应用的推动下，包括关键的网络基础设施、应急响应系统和分布式移动机器人，该项目致力于基础和应用研究，以建立健全的数学、计算和技术基础，以解决这些系统对意外中断做出反应时的自主性和可重构性问题。同时，研究人员开发了一个网络城市和一个网络校园的真实生活试验台，这些试验台为研究计划确定了一系列挑战问题，并提供了测试该项目下开发的技术的平台。该项目考虑的范式转变取决于以下方法：(I)机制设计，通过设计从全局性能目标导出的局部效用函数，为分布式自治系统的互连提供框架；(Ii)通信约束下的分布式决策方法，解决各种联网场景；(Iii)非贝叶斯方法，与需要所有对手的模型的贝叶斯方法相比，非贝叶斯方法创建处理意外中断所需的适当灵活性；以及(Iv)近似和松弛方法，它允许构造简化的(抽象的)互联模型，由此可以推导出可靠性和稳健性的限制。该试验台将为大型网络化城市的活跃度预测和管理提供另一个真实的范例。该项目将为学生创造与美国和海外主要工业公司互动的机会。项目成果将被纳入麻省理工学院和加州理工学院系统领域的第一年研究生课程。通过麻省理工学院的开放式课程计划，调查人员打算让感兴趣的各方能够接触到这些开发。计划还包括对当地K-12学校的外展活动。

PI: Munther A. DahlehInstitution: Massachusetts Institute of TechnologyProposal Number: 0735956EFRI-ARESCI: Foundations for Reconfigurable and Autonomous Cyber-Physical Systems: Cyber-Cities and Cyber-UniversitiesThis project, with investigators from the Massachusetts Institute of Technology and the California Institute of Technology, focuses on new theoretical foundations for autonomously reconfigurable cyber-physical systems. Motivated by the abundance of applications of Cyber-Physical Systems, including critical networked infrastructures, emergency response systems, and distributed mobile robotics, the project pursues fundamental and applied research towards sound mathematical, computational, and technological foundations to address issues of autonomy and reconfigurablity as such systems react to unexpected disruptions. In conjunction, the investigators develop real-life testbeds of a cyber-city and a cyber-campus, which identify a set of challenge problems for the research program and offer platforms for testing the technologies developed under this project. The project consider a paradigm shift that hinges on the following methods: (i) mechanism design which provides a framework for interconnections of distributed autonomous systems by designing local utility functions that are derived from a global performance objective; (ii) distributed decision methods under communication constraints which address various networking scenarios; (iii) non-Bayesian methods which create the appropriate flexibility necessary to deal with unexpected disruptions as contrasted to Bayesian methods that require models of all adversaries; and (iv) approximation and relaxation methods which allow constructing simplified (abstracted) models of interconnections from which limitations on reliability and robustness can be derived.The proposed approach will provide optimal efficient response strategies for emergency response and other systems. The test bed will provide another real-life example for prediction and management of liveliness of large networked cities. The project will create opportunities for students to interact with major industrial companies in the U.S. and abroad. Project outcomes will be integrated into the first-year graduate curriculum in the systems area at both MIT and Caltech. Through MIT's OpenCourseWare initiative, the investigators intend to make these developments accessible to interested parties. Plans also include outreach activities to local K-12 schools.