Collaborative Research: New Communication Infrastructures For Networked Coordinated Control
协作研究:网络协调控制的新型通信基础设施
基本信息
- 批准号:0848256
- 负责人:
- 金额:$ 19.79万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-07-01 至 2011-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The focus of this project is integrated design and analysis of communication networks in service of coordinated control of multi-vehicle systems. Consider a set of vehicles, equipped with local controllers and wireless radios, that is set to arrange itself, to stabilize, and to control its collective motion. To achieve globally desirable formation behavior, the controller on a given vehicle must respond to the motion and state of others.In fact, there exists a complicated coupling among system components: network architecture, communications protocols, and controller design. The integrated design of these components is the objective of this project. The fundamental challenge in designing networked control systems is that the tasks of communication and control, in general, cannot be considered decoupled from each other without loss of optimality. However, modular solutions can potentially provide significant insights into the nature of efficient solutions. This project addresses the problem of integrated communications and control from a practically viable perspective by decomposing the problem into modular tasks. The introduced degree of modularity, despite its sub-optimality, enables practical and efficient solutions as well as insights into the inherent trade-offs. Because the questions that arise lie at the intersection between communications and controls research, the components of the project bring together expertise in decentralized control, networking, and signal processing through the following specific tasks: 1) Nonlinear coordinated control over dynamic graphs, 2) Crosslayer optimization of wireless networks in service of coordinated control, 3) Physical layer solutions to decentralized communication and control, and 4) Experimental performance evaluation on a 3D autonomous underwater vehicle test-bed at the University of Washington.
该项目的重点是对多车系统协调控制的通信网络的集成设计和分析。考虑一组配备本地控制器和无线收音机的车辆,这些车辆将安排自身,稳定和控制其集体运动。为了实现全球所需的形成行为,给定车辆上的控制器必须响应其他人的运动和状态。实际上,系统组件之间存在复杂的耦合:网络体系结构,通信协议和控制器设计。这些组件的集成设计是该项目的目的。 设计网络控制系统的基本挑战是,一般而言,通信和控制的任务不能被视为彼此分离而不会丧失最佳性。但是,模块化解决方案可以潜在地提供对有效解决方案的性质的重要见解。该项目通过将问题分解为模块化任务,从实际上可行的角度解决了集成通信和控制的问题。引入的模块化程度,尽管它是次优的,但可以实现实用和高效的解决方案以及对固有的权衡的见解。因为出现的问题位于通信与控制研究之间的相交,所以该项目的组成部分通过以下特定任务将在分散控制,网络和信号处理方面的专业知识汇集在一起:1)非线性对动态图的非线性协调控制,2)在无线网络中的无线网络在配置控制方面的无线网络优化,3)实验性的沟通和4)4)华盛顿大学的水下汽车测试床。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Anna Scaglione其他文献
Stochastic Dynamic Network Utility Maximization with Application to Disaster Response
随机动态网络效用最大化及其在灾难响应中的应用
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Anna Scaglione;Nurullah Karakoç - 通讯作者:
Nurullah Karakoç
2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, Austin, TX, USA, March 23-27, 2020
2020 IEEE 国际普适计算和通信研讨会研讨会,PerCom Workshops 2020,美国德克萨斯州奥斯汀,2020 年 3 月 23-27 日
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Yuan Lai;Gonzalo J. Martinez;Stephen M. Mattingly;Shayan Mirjafari;Subigya Nepal;Andrew T Campbell;A. Dey;Aaron D. Striegel;Marco Jansen;Fatjon Seraj;Wei Wang;P. Havinga;Kaijie Zhang;Zhiwen Yu;Dong Zhang;Zhu Wang;Bin Guo;Julian Graf;Katrin Neubauer;Sebastian Fischer;Rudolf Hackenberg;Elliott Wen;Gerald Weber;Javier Rojo;Daniel Flores;J. García;J. M. Murillo;Javier Berrocal;Mingyu Hou;Tianyu Kang;Li Guo;Edison Thomaz;Beichen Yang;Min Sun;Xiaoyan Hong;Xiaoming Guo;P. Barsocchi;A. Crivello;Michele Girolami;Fabio Mavilia;Vivek Chandel;Shivam Singhal;Avik Ghose;Tetsushi Matsuda;Toru Inada;Susumu Ishihara;Luay Alawneh;Belal Mohsen;Mohammad Al;Ahmed S. Shatnawi;Mahmoud Al;N. B. Rabah;Eoin Brophy;W. Muehlhausen;A. Smeaton;Tomás E. Ward;S. Maskey;S. Badsha;Shamik Sengupta;Ibrahim Khalil;Stanisław Saganowski;Anna Dutkowiak;A. Dziadek;Maciej Dziezyc;Joanna Komoszynska;Weronika Michalska;Adam G. Polak;Michal Ujma;Przemysław Kazienko;Nurullah Karakoç;Anna Scaglione;Fatemeh Mirzaei;Jonathan Lam;Roberto Manduchi;R. K. Ramakrishnan;R. Gavas;Lalit Venkata Subramaninan Viraraghavan;Kumar Hissaria;Arpan Pal;P. Balamuralidhar;S. Ditton;Ali Tekeoglu;K. Bekiroglu;Seshadhri Srinivasan;E. Tonkin;Miquel Perello Nieto;Haixia Bi;Antonis Vafeas;Yuri Tani;M. Garcia;A. Konios;M. A. Mustafa;C. Nugent;G. Morrison;Noah Sieck;Cameron Calpin;Mohammad S. Almalag;M. M. Sandhu;Kai Geissdoerfer;Sara Khalifa;Raja Jurdak;Marius Portmann;Brano Kusy;Alwyn Burger;Chao Qian;Gregor Schiele;Domenik Helms;Peter Zdankin;Marian Waltereit;V. Matkovic;Torben Weis;Syafiq Al Atiiq;Christian Gehrmann;Jae Woong Lee;Sumi Helal;Mathias Mormul;Christoph Stach;L. Krupp;G. Bahle;Agnes Gruenerbl;P. Lukowicz;Nicholas Handaja;Brent Lagesse;Clémentine Gritti;Dennis Przytarski;Bernhard Mitschang;Yeongjun Jeon;Kukho Heo;Soon Ju Kang;Sandeep Biplav Srivastava;Singh Sandha;Vaskar Raychoudhury;Sukanya Randhawa;V. Kapoor;Anmol Agrawal;Young D. Kwon;Kirill A. Shatilov;Lik;Serkan Kumyol;Kit;Yui;Pan Hui;Brittany Lewis;Joshua Hebert;Krishna Venkatasubramanian;Matthew Provost;Kelly Charlebois;Kristina Yordanova;Albert Hein;T. Kirste;Lien;Jun;Wei;Casper Van Gheluwe;I. Šemanjski;Suzanne Hendrikse;S. Gautama;Furqan Jameel;Zheng Chang;Riku Jäntti;Sergio Laso;M. Linaje;Ikram Ullah;N. Meratnia;Steven M. Hernandez;Eyuphan Bulut;Amiah Gooding;Matthew Martin;Maxwell Minard;Smruthi Sandhanam;Travis Stanger;Yana Alexandrova;Ashfaq Khokhar;Goce Trajcevski;Utsav Goswami;Kevin Wang;Gabriel Nguyen;Federico Montori;L. Bedogni;Gianluca Iselli;L. Bononi;Saptaparni Kumar;Haochen Pan;Roger Wang;Lewis Tseng;K. Hirayama;S. Saiki;Masahide Nakamura;Kiyoshi Yasuda;Samy El;Ismail Arai;Ahmad Salman;B. B. Park;Yuya Sano;Yuito Sugata;Teruhiro Mizumoto;H. Suwa;K. Yasumoto;P. Kouris;Marietta Sionti;Chrysovalantis Korfitis;Stella Markantonatou;Naima Khan;Nirmalya Roy;D. Jaiswal;D. Chatterjee;Ramesh Kumar;Ana Cristina Franco;Da Silva;Pascal Hirmer;Jan Schneider;Seda Ulusal;Matheus Tavares;Tomokazu Matsui;Kosei Onishi;Shinya Misaki;Manato Fujimoto;Hayata Satake;Yuki Kobayashi;Ryotaro Tani;Hiroshi Shigeno;Avijoy Chakma;Abu Zaher;Md Faridee;M Sajjad Hossain;Cleo Forman;Pablo Thiel;Raymond Ptucha;Miguel Dominguez;Cecilia Ovesdotter Alm;S. Mozgai;Arno Hartholt;Albert Rizzo - 通讯作者:
Albert Rizzo
Network-Constrained Reinforcement Learning for Optimal EV Charging Control
用于最佳电动汽车充电控制的网络约束强化学习
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Tong Wu;Anna Scaglione;Adrian;Daniel Arnold;S. Peisert - 通讯作者:
S. Peisert
Routing and data compression in sensor networks: stochastic models for sensor data that guarantee scalability
- DOI:
10.1109/isit.2003.1228188 - 发表时间:
2003-09 - 期刊:
- 影响因子:0
- 作者:
Anna Scaglione - 通讯作者:
Anna Scaglione
Statistical analysis of the capacity of MIMO frequency selective Rayleigh fading channels with arbitrary number of inputs and outputs
- DOI:
10.1109/isit.2002.1023550 - 发表时间:
2002-06 - 期刊:
- 影响因子:0
- 作者:
Anna Scaglione - 通讯作者:
Anna Scaglione
Anna Scaglione的其他文献
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{{ truncateString('Anna Scaglione', 18)}}的其他基金
I-Corps: Geospatial Trend Detection for Hydro-power and Critical Infrastructure Design
I-Corps:水电和关键基础设施设计的地理空间趋势检测
- 批准号:
2344120 - 财政年份:2023
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
Travel Grant: Urban Tech Academy meeting on electrified multimodal transportation
旅行补助金:城市技术学院关于电气化多式联运的会议
- 批准号:
2336001 - 财政年份:2023
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
Advancing Graph Signal Processing Techniques for Monitoring and Control of Electric Distribution Power Systems
先进的图形信号处理技术用于配电电力系统的监测和控制
- 批准号:
2210012 - 财政年份:2022
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
CCF-BSF: CIF: Small: Identification and Isolation of Malicious Behavior in Multi-Agent Optimization Algorithms
CCF-BSF:CIF:小:多代理优化算法中恶意行为的识别和隔离
- 批准号:
1714672 - 财政年份:2017
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
EAGER: The Identification of Social Systems Trust: Theory and Experimental Validation
EAGER:社会系统信任的识别:理论与实验验证
- 批准号:
1553746 - 财政年份:2015
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: Renewables: A function space theory for continuous-time flexibility scheduling in electricity markets
合作研究:EAGER:可再生能源:电力市场连续时间灵活性调度的函数空间理论
- 批准号:
1549923 - 财政年份:2015
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
CCF: Small: Online Learning and Exploitation of the Radio Frequency Spectrum with Sub-Nyquist Sampling
CCF:小型:采用亚奈奎斯特采样的射频频谱在线学习和利用
- 批准号:
1534957 - 财政年份:2014
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
CIF: Large: Collaborative Research: Cooperation and Learning Over Cognitive Networks
CIF:大型:协作研究:认知网络上的合作与学习
- 批准号:
1531050 - 财政年份:2014
- 资助金额:
$ 19.79万 - 项目类别:
Continuing Grant
CCF: Small: Online Learning and Exploitation of the Radio Frequency Spectrum with Sub-Nyquist Sampling
CCF:小型:采用亚奈奎斯特采样的射频频谱在线学习和利用
- 批准号:
1320065 - 财政年份:2013
- 资助金额:
$ 19.79万 - 项目类别:
Standard Grant
CIF: Large: Collaborative Research: Cooperation and Learning Over Cognitive Networks
CIF:大型:协作研究:认知网络上的合作与学习
- 批准号:
1011811 - 财政年份:2010
- 资助金额:
$ 19.79万 - 项目类别:
Continuing Grant
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