Networked Collaborative Multi-Agent Cyber-Physical Systems

网络化协作多智能体网络物理系统

基本信息

项目摘要

A cyber-physical system (CPS) involves technologies of computing, communication, more precisely, networking, and control. In spite of great efforts in developing technology for CPS, only limited cross-disciplinary efforts toward the fundamental investigations on CPS technology. In this joint project, involving TU Dresden, University of South Florida and North Carolina State University, we will pursue innovation in the three disciplines converging in Cyber-Physical Networking, namely computing, communication and control or CoCoCo for short. In all of these disciplines, the cross-domain interrelationships will be taken into account. Computing will be tackled in Work Package A (WP). The methodology followed will be mainly artificial intelligence, specifically reinforcement learning. The reason is that RL has proved to be an appropriate methodology for enabling agents to interact with their environment. Communications will be approached in WP[B]. Network virtualization is our method of choice since it allows adaptability to the complex dynamics and interdependencies of control agents and networking aspects. Control will be considered in WP[C]. The framework used for studying control over wireless networks will be network control system theory, since it jointly studies the communication and control aspects in the design of control systems with networks on the loop. Finally, in WP[D] we shall bring the main outcomes of each of these work packages together and propose a joint evaluation through experimentation. We expect to obtain and provide insights through experimental evaluation of the limits of the current theories, all converging in this compelling field of networked CPS.
信息物理系统(CPS)涉及计算,通信,更准确地说,网络和控制技术。尽管在CPS技术的开发方面做出了巨大的努力,但只有有限的跨学科努力对CPS技术进行基础研究。在这个联合项目中,涉及德累斯顿工业大学,南佛罗里达大学和北卡罗来纳州州立大学,我们将追求在网络物理网络,即计算,通信和控制或简称CoCoCo融合的三个学科的创新。在所有这些学科中,将考虑跨领域的相互关系。计算将在工作包A(WP)中处理。遵循的方法将主要是人工智能,特别是强化学习。原因是RL已被证明是使代理与其环境交互的适当方法。 通信将在WP[B]中进行。网络虚拟化是我们选择的方法,因为它允许适应控制代理和网络方面的复杂动态和相互依赖性。将在WP[C]中考虑控制。用于研究无线网络控制的框架将是网络控制系统理论,因为它联合研究了控制系统设计中的通信和控制方面。最后,在WP[D]中,我们将把每个工作包的主要成果放在一起,并通过实验提出一个联合评估。我们希望通过对当前理论局限性的实验评估来获得并提供见解,所有这些都集中在这个引人注目的网络CPS领域。

项目成果

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Professor Dr.-Ing. Gerhard P. Fettweis其他文献

Professor Dr.-Ing. Gerhard P. Fettweis的其他文献

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{{ truncateString('Professor Dr.-Ing. Gerhard P. Fettweis', 18)}}的其他基金

Robust Algorithm Development and Demonstration for Agile mmWave MIMO Hybrid Beamforming
敏捷毫米波 MIMO 混合波束赋形的稳健算法开发和演示
  • 批准号:
    421544431
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Exploiting Adaptive Networking for Joint Design ofCommunication and Control in Cyber Physical Systems(eNC2)
利用自适应网络进行网络物理系统通信和控制的联合设计(eNC2)
  • 批准号:
    334648488
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Maximum Spectral Efficiency Through Parallelized Multiple-Input-Multiple-Output (MIMO) Transmission Using High-Resolution 3D Antenna Topologies
使用高分辨率 3D 天线拓扑通过并行多输入多输出 (MIMO) 传输实现最大频谱效率
  • 批准号:
    237418843
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Robust cooperative spatial processing and power control for interference mitigation in cellular networks
用于减轻蜂窝网络干扰的鲁棒协作空间处理和功率控制
  • 批准号:
    140616905
  • 财政年份:
    2009
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
60 GHz UWB transmission with blind and semiblind channel estimation affected by low ADC resolution and imperfect synchronisation
60 GHz UWB 传输采用盲和半盲信道估计,受低 ADC 分辨率和不完美同步的影响
  • 批准号:
    81200849
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Space-Time-Signal processing and predistortion for capacity enhancement in mobile communication networks
用于增强移动通信网络容量的时空信号处理和预失真
  • 批准号:
    5255402
  • 财政年份:
    2001
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Prozessorarchitekturen und Compilertechniken zur verlustarmen digitalen Signalverarbeitung
用于低损耗数字信号处理的处理器架构和编译器技术
  • 批准号:
    5173925
  • 财政年份:
    1999
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes

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