CPS: Small: Real-time, Simulation-based Planning and Asynchronous Coordination for Cyber-Physical Systems

CPS：小型：网络物理系统的实时、基于仿真的规划和异步协调

• 批准号: 0932423
• 负责人: George Bebis
• 金额: $ 60万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0932423&HistoricalAwards=false
• 关键词: CPS; Small; Real; time; Simulation

CPS:Small: Real-time, Simulation-based Planning and Asynchronous Coordination for Cyber-Physical SystemsThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is to investigate how to replace human decision-making with computational intelligence at a scale not possible before and in applications such as manufacturing, transportation, power-systems and bio-sensors. The approach is to build upon recent contributions in algorithmic motion planning, sensor networks and other fields so as to identify general solutions for planning and coordination in networks of cyber-physical systems.The intellectual merit of the project lies in defining a planning framework, which integrates simulation to utilize its predictive capabilities, and focuses on safety issues in real-time planning problems. The framework is extended to asynchronous coordination by utilizing distributed constraint optimization protocols and dealing with inconsistent state estimates among networked agents. Thus, the project addresses the frequent lack of well-behaved mathematical models for complex systems, the challenges of dynamic and partially-observable environments, and the difficulties in synchronizing and maintaining a unified, global world state estimate for multiple devices over a large-scale network.The broader impact involves the development and dissemination of new algorithms and open-source software. Research outcomes will be integrated to teaching efforts and undergraduate students will be involved in research. Underrepresented groups will be encouraged to participate, along with students from the Davidson Academy of Nevada, a free public high school for gifted students. At a societal level, this project will contribute towards achieving flexible manufacturing floors, automating the transportation infrastructure, autonomously delivering drugs to patients and mitigating cascading failures of the power network. Collaboration with domain experts will assist in realizing this impact.

CPS：小型：网络物理系统的实时、基于模拟的规划和异步协调该奖项由 2009 年美国复苏和再投资法案（公法 111-5）资助。这项研究的目的是研究如何以前所未有的规模用计算智能取代人类决策，在制造、运输、电力系统和生物传感器等应用中是不可能的。该方法建立在算法运动规划、传感器网络和其他领域的最新贡献的基础上，以确定信息物理系统网络中规划和协调的通用解决方案。该项目的智力价值在于定义了一个规划框架，该框架集成了仿真以利用其预测能力，并重点关注实时规划问题中的安全问题。通过利用分布式约束优化协议并处理网络代理之间不一致的状态估计，该框架扩展到异步协调。因此，该项目解决了复杂系统经常缺乏良好的数学模型、动态和部分可观察环境的挑战，以及在大规模网络上同步和维护多个设备的统一的全球世界状态估计的困难。更广泛的影响涉及新算法和开源软件的开发和传播。研究成果将融入教学工作，本科生将参与研究。将鼓励代表性不足的群体以及来自内华达戴维森学院的学生参加，这是一所为有天赋的学生提供的免费公立高中。 在社会层面上，该项目将有助于实现灵活的生产车间、交通基础设施自动化、自动向患者运送药物以及减轻电网的级联故障。 与领域专家的合作将有助于实现这一影响。