CAREER: Scheduling Driving Sensing and Control Nodes in Nonlinear Networks with Applications to Fuel-Free Energy Systems

职业：调度非线性网络中的驱动传感和控制节点及其在无燃料能源系统中的应用

• 批准号: 2152450
• 负责人: Ahmad Taha
• 金额: $ 52.65万
• 依托单位: Vanderbilt University
• 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: 2021-09-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2152450&HistoricalAwards=false
• 关键词: CAREER; Scheduling; Driving; Sensing; Control; CAREER; Scheduling; Driving; Sensing; Control

Power and water systems, the Internet, and other infrastructure are assembled into intertwined networks. These networks evolve nonlinearly in time: small changes in a system’s inputs result in disproportionate changes in the sensed outputs (e.g., a minor car accident can disrupt traffic for hours). These systems form nonlinear networks that rely on ubiquitous sensors and controllers. Examples include water flow meters and pumps in water systems, ramp meters and cameras on highways, and solar panels and smart meters in energy networks. As a result, the scheduling of sensors and controllers embodies a major step in the reliable operation of various systems and urban infrastructure. When and where sensors and controllers are placed still present challenging questions for experts in this field. These are not merely engineering questions---they are, by and large, socio-economically imperative. To that end, this Faculty Early Career Development Program (CAREER) award supports fundamental research to understand this scheduling. This project presents an opportunity for scientific advancements by creating innovative algorithms and educational tools for the sensors and controllers scheduling problem in nonlinear systems. This is a shift from existing literature that focuses instead on linear approximations of nonlinear dynamics, which result in underwhelming performance for various applications. Furthermore, motivated by the urgent environmental need to decarbonize energy systems, applications to the placement of renewable energy resources are explored. The project will also (a) create crowdsourced educational material through open-source computing and (b) build on curriculum development through engaging students from under-represented groups.The project offers a novel framework for the exploration of the sensors and controllers scheduling problem in nonlinear networks, offering theoretical breakthroughs in dynamic network sciences. In particular, the project will investigate new approaches to efficiently quantify observability and controllability, while exploring parameterization of nonlinear dynamics, first principles in control and network science, and efficient binary search methods. The foundations will lead to generating subsets of driving control/sensing nodes and have major implications in identifying vulnerabilities and network failures. The research will also create scalable optimization methods that are endowed with theoretical properties that make them suitable for offline/online placement or scheduling of sensing and control nodes, for networks of varying sizes, for systems modeled via differential algebraic or ordinary differential equations, and under the presence or absence of benign or malicious uncertainty. The project will apply the theoretical foundations in fuel-free power networks that are characterized by the intermittent nature of renewables and consumer behavior.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.

电力和水系统，互联网和其他基础架构被组装到交织在一起的网络中。这些网络在及时的非线性发展：系统输入的微小变化会导致感应输出的比例变化（例如，一次小车祸会破坏数小时的流量）。这些系统形成依赖无处不在的传感器和控制器的非线性网络。例子包括水系统中的水流和泵，高速公路上的坡道表和摄像机，太阳能电池板以及能量网络中的智能电表。结果，传感器和控制器的调度体现了各种系统和城市基础架构的可靠操作的重要一步。将传感器和控制器放置在何时何地，仍然为该领域的专家提出挑战问题。这些不仅是工程问题，而且在整个社会经济上，它们都是必要的。为此，这项教师早期职业发展计划（职业）奖支持基本研究以了解该计划。该项目通过为非线性系统中的传感器和控制器调度问题创建创新算法和教育工具，为科学进步提供了机会。这是与现有文献的转变，而不是现有文献，而是关注非线性动力学的线性近似，这导致各种应用程序的表现不佳。此外，由于紧急环境需要脱碳化的能源系统，探索了可再生能源资源的应用。该项目还将（a）通过开源计算来创建人群的教育材料，（b）通过吸引来自代表性不足的组的学生来建立课程开发。该项目为传感器和控制器调度问题的探索提供了一个新颖的框架，以在非线性网络中调查非线性网络中的调度问题，从而在动态网络科学中提供理论的突破性。特别是，该项目将研究有效量化观察和可控性的新方法，同时探索非线性动力学的参数化，控制和网络科学中的第一原理以及有效的二进制搜索方法。这些基础将导致生成驱动控制/传感节点的子集，并在识别漏洞和网络失败方面具有重要意义。该研究还将创建可扩展的优化方法，这些方法具有理论特性，使其适合于离线/在线放置或安排灵敏度和控制节点的安排，适用于不同大小的网络，用于通过差分代数或普通微分方程建模的系统，以及在良性或恶意的不存在的情况下模拟的系统。该项目将在无燃料电力网络中采用理论基础，其特征在于可再生能源和消费者行为的间歇性质。该奖项反映了NSF的法定任务，并且我们是否使用基金会的知识分子优点和更广泛的影响标准通过评估我们被评估诚实地表示支持。