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
- 来源:
- 关键词:
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地演变: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,一场小车祸会使交通中断数小时)。这些系统形成依赖于无处不在的传感器和控制器的非线性网络。例子包括供水系统中的水流量计和水泵、高速公路上的匝道仪表和摄像头,以及能源网络中的太阳能电池板和智能仪表。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。传感器和控制器的放置时间和位置仍然是该领域专家面临的挑战性问题。这些不仅仅是工程问题,总的来说,它们是社会经济上的当务之急。为此,这个教师早期职业发展计划(CAREER)奖支持基础研究,以了解这种调度。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。这是现有文献的一个转变,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,出于对能源系统脱碳的迫切环境需求,探索了可再生能源的应用。 该项目还将(a)通过开源计算创建众包教育材料;(B)通过吸引来自代表性不足群体的学生参与课程开发。该项目为探索非线性网络中的传感器和控制器调度问题提供了一个新的框架,为动态网络科学提供了理论突破。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有效的二进制搜索方法。这些基础将导致生成驾驶控制/传感节点的子集,并在识别漏洞和网络故障方面产生重大影响。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,使其适合于传感和控制节点的离线/在线放置或调度,适用于不同大小的网络,适用于通过微分代数或常微分方程建模的系统,以及存在或不存在良性或恶意的不确定性。该项目将应用以可再生能源的间歇性和消费者行为为特征的无燃料电力网络的理论基础。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评估被认为值得支持影响审查标准。
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)
Towards Understanding Sensor and Control Nodes Selection in Nonlinear Dynamic Systems: Lyapunov Theory Meets Branch-and-Bound
- DOI:10.1016/j.automatica.2021.109904
- 发表时间:2020-12
- 期刊:
- 影响因子:0
- 作者:Sebastian A. Nugroho;A. Taha
- 通讯作者:Sebastian A. Nugroho;A. Taha
Load- and Renewable-Following Control of Linearization-Free Differential Algebraic Equation Power System Models
- DOI:10.1109/tcst.2023.3244492
- 发表时间:2021-04
- 期刊:
- 影响因子:4.8
- 作者:Sebastian A. Nugroho;A. Taha
- 通讯作者:Sebastian A. Nugroho;A. Taha
Control Node Selection Algorithm for Nonlinear Dynamic Networks
- DOI:10.1109/lcsys.2020.3019591
- 发表时间:2020-08
- 期刊:
- 影响因子:3
- 作者:A. Haber;Sebastian A. Nugroho;Patricio Torres;A. Taha
- 通讯作者:A. Haber;Sebastian A. Nugroho;Patricio Torres;A. Taha
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
- DOI:10.1109/tcns.2022.3158754
- 发表时间:2022
- 期刊:
- 影响因子:4.2
- 作者:Nugroho, Sebastian Adi;Taha, Ahmad;Gatsis, Nikolaos;Zhao, Junbo
- 通讯作者:Zhao, Junbo
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?
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:8.5
- 作者:Sebastian A. Nugroho, Suyash C.
- 通讯作者:Sebastian A. Nugroho, Suyash C.
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Ahmad Taha其他文献
Impact of Rhinoplasty on Nasal Breathing and Olfactory Function: A Longitudinal Prospective Cohort Study
- DOI:
10.1007/s00266-025-04716-z - 发表时间:
2025-02-10 - 期刊:
- 影响因子:2.800
- 作者:
Mohamad Obeid;Ibrahim Obeid;Mohammad Adi;Mohammed Al-kurdi;Ali Jawad;Modar Ismaeel;Ahmad Taha;Ahmad Mustafa - 通讯作者:
Ahmad Mustafa
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
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
William Taylor;Ahmad Taha;Ahsen Tahir;Syed Aziz Shah;Q. Abbasi;M. Imran - 通讯作者:
M. Imran
Non-Invasive Localisation Using Software-Defined Radios
使用软件定义无线电进行非侵入式定位
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
M. Khan;Ahmad Taha;William Taylor;M. Imran;Q. Abbasi - 通讯作者:
Q. Abbasi
Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation
通过不求解 OPF 来求解 OPF:DAE 控制理论和实时调节的代价
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Muhammad Nadeem;Ahmad Taha - 通讯作者:
Ahmad Taha
Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces
编码环境:具有可重构智能表面的数据驱动的室内定位
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Syed Tariq Shah;M. Shawky;J. Kazim;Ahmad Taha;Shuja Ansari;Syed Faraz Hasan;M. Imran;Q. Abbasi - 通讯作者:
Q. Abbasi
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: 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
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
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: 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: 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: 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
Collaborative Research: Selecting Sensors and Actuators for Topologically Evolving Networked Dynamical Systems: Battling Contamination in Water Networks
合作研究:为拓扑演化的网络动力系统选择传感器和执行器:对抗水网络中的污染
- 批准号:
1728629 - 财政年份:2017
- 资助金额:
$ 52.65万 - 项目类别:
Standard Grant
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