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

基本信息

  • 批准号:
    2044430
  • 负责人:
  • 金额:
    $ 52.65万
  • 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:
    2021-05-01 至 2021-10-31
  • 项目状态:
    已结题

项目摘要

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.
电力和供水系统、互联网和其他基础设施被组装成相互交织的网络,这些网络随时间非线性演变:系统输入的微小变化会导致感测输出的不成比例的变化(例如,一场轻微的车祸可能会导致交通中断数小时)。这些系统形成了依赖于无处不在的传感器和控制器的非线性网络,例如供水系统中的水流量计和水泵、高速公路上的坡道流量计和摄像头以及能源网络中的太阳能电池板和智能电表。因此,传感器和控制器的调度体现了各种系统和城市基础设施可靠运行的重要一步。对于该领域的专家来说,何时何地放置传感器和控制器仍然是一个具有挑战性的问题——总体而言,它们在社会经济方面是必要的,为此,该教师早期职业发展计划(CAREER)奖项支持基础研究以了解这种安排,该项目通过创建创新算法和教育工具为科学进步提供了机会。非线性传感器与控制器调度问题这是对现有文献的转变,现有文献侧重于非线性动力学的线性近似,这导致各种应用的性能不佳。此外,由于能源系统脱碳的迫切环境需求,可再生能源的应用正在兴起。该项目还将(a)通过开源计算创建众包教育材料,以及(b)通过吸引弱势群体的学生参与课程开发。该项目为探索传感器和控制器调度提供了一个新颖的框架。问题在特别是,该项目将研究有效量化可观测性和可控性的新方法,同时探索非线性动力学的参数化、控制和网络科学的第一原理以及高效的二分搜索方法的基础。将导致生成驱动控制/传感节点的子集,并对识别漏洞和网络故障产生重大影响。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,使其适合离线/在线放置或调度。该项目将应用无燃料电力网络的理论基础,适用于不同规模的网络、通过微分代数或常微分方程建模的传感和控制节点。该奖项的特点是可再生能源和消费者行为的间歇性。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势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(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Load and Renewable-Following Control of Linearization-Free Differential Algebraic Equation Power System Models
无线性化微分代数方程电力系统模型的负荷和可再生能源跟踪控制
Towards Understanding Sensor and Control Nodes Selection in Nonlinear Dynamic Systems: Lyapunov Theory Meets Branch-and-Bound
理解非线性动态系统中的传感器和控制节点选择:李雅普诺夫理论与分支定界的结合
  • DOI:
    10.1016/j.automatica.2021.109904
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Nugroho, Sebastian;Taha, Ahmad
  • 通讯作者:
    Taha, Ahmad
Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States
电力网络微分代数方程模型的观测器:联合估计动态和代数状态
Towards Understanding Sensor and Control Nodes Selection in Nonlinear Dynamic Systems: Lyapunov Theory Meets Branch-and-Bound
理解非线性动态系统中的传感器和控制节点选择:李雅普诺夫理论与分支定界的结合
  • DOI:
  • 发表时间:
    2021-07
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Sebastian Nugroho; Ahmad Taha
  • 通讯作者:
    Ahmad Taha
Where Should Traffic Sensors Be Placed on Highways?
交通传感器应该安装在高速公路的什么位置?
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Ahmad Taha其他文献

A Comparative Study of Single and Multi-Stage Forecasting Algorithms for the Prediction of Electricity Consumption Using a UK-National Health Service (NHS) Hospital Dataset
使用英国国家医疗服务 (NHS) 医院数据集预测用电量的单阶段和多阶段预测算法的比较研究
  • DOI:
    10.3390/fi15040134
  • 发表时间:
    2023-03-31
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Ahmad Taha;Basel Barakat;Mohammad M. A. Taha;M. Shawky;Chun Sing Lai;Sajjad Hussain;Muhammad Zainul Abideen;Q. Abbasi
  • 通讯作者:
    Q. Abbasi
Real-Time Contactless WiFi Based Room Detection of Sitting and Standing Human Motions
基于非接触式 WiFi 的实时室内坐姿和站立人体运动检测
Novel Contactless Sensing Technique for Real-time Human Activity Detection
用于实时人体活动检测的新型非接触式传感技术
A Doppler-based Human Activity Recognition System using WiFi Signals
使用 WiFi 信号的基于多普勒的人体活动识别系统
  • DOI:
    10.1109/sensors47087.2021.9639680
  • 发表时间:
    2021-10-31
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Y. Ge;Shibo Li;Minjian Shentu;Ahmad Taha;Shuyuan Zhu;Jonathan Cooper;M. Imran;Q. Abbasi
  • 通讯作者:
    Q. Abbasi
DYNAMIC PROGRAMMING OF A TORSO ACTUATED RIMLESS WHEEL ROBOT
躯干驱动无轮机器人的动态编程
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Pranav A. Bhounsule;H. Wan;Robert Brothers;R. Hood;S. Sánchez;Ezra Ameperosa;Rico Ulep;Scott Miller;Kyle Seale;A. Zamani;Ahmad Taha;G. Brothers;A. Torso;Actuated Rimless;Wheel Robot
  • 通讯作者:
    Wheel Robot

Ahmad Taha的其他文献

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{{ truncateString('Ahmad Taha', 18)}}的其他基金

Collaborative Research: CyberTraining: Implementation: Medium: Cross-Disciplinary Training for Joint Cyber-Physical Systems and IoT Security
协作研究:网络培训:实施:中:联合网络物理系统和物联网安全的跨学科培训
  • 批准号:
    2230087
  • 财政年份:
    2023
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Continuing Grant
Collaborative Research: CyberTraining: Implementation: Medium: Cross-Disciplinary Training for Joint Cyber-Physical Systems and IoT Security
协作研究:网络培训:实施:中:联合网络物理系统和物联网安全的跨学科培训
  • 批准号:
    2230087
  • 财政年份:
    2023
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Continuing Grant
Collaborative Research: Joint Control of Hydraulics and Water Quality Dynamics in Drinking Water Networks
合作研究:饮用水管网水力学和水质动态的联合控制
  • 批准号:
    2151392
  • 财政年份:
    2021
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
Collaborative Research: Advancing Robust Control and State Estimation of Converter-Based Power Systems
合作研究:推进基于转换器的电力系统的鲁棒控制和状态估计
  • 批准号:
    2151571
  • 财政年份:
    2021
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2021
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
Collaborative Research: Optimal Sensor Selection and Robust Traffic Detection and Estimation in a World of Connected Vehicles
协作研究:联网车辆世界中的最佳传感器选择以及稳健的交通检测和估计
  • 批准号:
    2152928
  • 财政年份:
    2021
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
Collaborative Research: Joint Control of Hydraulics and Water Quality Dynamics in Drinking Water Networks
合作研究:饮用水管网水力学和水质动态的联合控制
  • 批准号:
    2015671
  • 财政年份:
    2020
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
Collaborative Research: Joint Control of Hydraulics and Water Quality Dynamics in Drinking Water Networks
合作研究:饮用水管网水力学和水质动态的联合控制
  • 批准号:
    2015671
  • 财政年份:
    2020
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
Collaborative Research: Advancing Robust Control and State Estimation of Converter-Based Power Systems
合作研究:推进基于转换器的电力系统的鲁棒控制和状态估计
  • 批准号:
    2013786
  • 财政年份:
    2020
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant
Collaborative Research: Optimal Sensor Selection and Robust Traffic Detection and Estimation in a World of Connected Vehicles
协作研究:联网车辆世界中的最佳传感器选择以及稳健的交通检测和估计
  • 批准号:
    1917164
  • 财政年份:
    2019
  • 资助金额:
    $ 52.65万
  • 项目类别:
    Standard Grant

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  • 批准号:
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