Joint Performance Optimization of Wireless Networks and Control Systems

无线网络和控制系统的联合性能优化

基本信息

  • 批准号:
    0140700
  • 负责人:
  • 金额:
    $ 15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2002
  • 资助国家:
    美国
  • 起止时间:
    2002-08-01 至 2005-07-31
  • 项目状态:
    已结题

项目摘要

Joint Performance Optimization of Wireless Networks and Control SystemsCurrent control technology is not well suitedto operation over a packet based network, and conversely,most networks are not optimized for control applications. Moreover, critical network performance parameters that affect controlsystem performance, such as bit ratesand delay and packet loss statistics, depend on variouschoices made in the network, such as powers allocated to wirelesstransmitters, bandwidths or time-slot fractions allocated to channels, and routing methods.So in addition to the challenge of working out how a controlsystem can be made to work in a packet-based networked environment, we alsohave the challenge of working out how the network should be configured, or operated, so as to improve control system performance.This proposal addresses two fundamental issues that arise.Neither solves the whole problem, but each addresses a critical issue.The first topic involves joint optimization ofa controller and critical communication and networkparameters such as transmit powers, packet routing, andbandwidth and time-slot allocation. To simplify this problem, only the affects of thesenetwork parameters on bit rates, hence quantization noise, is considered. The second topic considered issimultaneous routing and resource allocation for wirelessdata networks.This is the problem of jointly finding an optimal setof flows and communication resources that maximize the performance ofthe network, with respect to some objective such as optimalcontrol system performance.Here we hope to develop algorithms to dynamically allocatecommunication resources (such as transmit powers, bandwidth)and simultaneously optimize routing decisions.
无线网络和控制系统的联合性能优化目前的控制技术并不适合在基于分组的网络上运行,相反,大多数网络也没有针对控制应用进行优化。此外,影响控制系统性能的关键网络性能参数,如比特率、延迟和丢包统计,取决于网络中的各种选择,如分配给无线发射机的功率、分配给信道的带宽或时隙分数,以及路由方法。因此,除了解决如何使控制系统在基于分组的网络环境中工作的挑战之外,我们还面临着解决如何配置或操作网络以提高控制系统性能的挑战。这项建议解决了出现的两个基本问题。两者都不能解决整个问题,但都解决了一个关键问题。第一个主题涉及控制器和关键通信和网络参数的联合优化,如传输功率、分组路由、带宽和时隙分配。为了简化这个问题,我们只考虑这些网络参数对比特率的影响,因此我们只考虑量化噪声。第二个主题考虑的是无线数据网络的同步路由和资源分配。这是一个共同寻找流量和通信资源的最优集合,使网络性能最大化的问题,相对于一些目标,如最优控制系统性能。在这里,我们希望开发算法来动态分配通信资源(如传输功率,带宽),同时优化路由决策。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Stephen Boyd其他文献

Least squares data fitting
最小二乘数据拟合
Correction: Tax-Aware Portfolio Construction Via Convex Optimization
A Markowitz Approach to Managing a Dynamic Basket of Moving-Band Statistical Arbitrages
管理动态篮子移动统计套利的马科维茨方法
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kasper Johansson;Thomas Schmelzer;Stephen Boyd
  • 通讯作者:
    Stephen Boyd
Finding Moving-Band Statistical Arbitrages via Convex-Concave Optimization
通过凸凹优化寻找动带统计套利
  • DOI:
    10.48550/arxiv.2402.08108
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kasper Johansson;Thomas Schmelzer;Stephen Boyd
  • 通讯作者:
    Stephen Boyd
A tutorial on geometric programming
  • DOI:
    10.1007/s11081-007-9001-7
  • 发表时间:
    2007-04-10
  • 期刊:
  • 影响因子:
    1.700
  • 作者:
    Stephen Boyd;Seung-Jean Kim;Lieven Vandenberghe;Arash Hassibi
  • 通讯作者:
    Arash Hassibi

Stephen Boyd的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Stephen Boyd', 18)}}的其他基金

EAGER: CRYO: Actively-Controlled Fast-Switching Thermal Switch for Sub-Kelvin Cooling with Low He3 Usage
EAGER:CRYO:主动控制的快速开关热开关,可实现亚开尔文冷却,He3 使用量低
  • 批准号:
    2233370
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
TAILORED COMPOSITES FOR TUNED DEFORMATION RESPONSE TO UNSTEADY FLUID LOADING
用于调整对不稳定流体负载的变形响应的定制复合材料
  • 批准号:
    EP/I009876/1
  • 财政年份:
    2011
  • 资助金额:
    $ 15万
  • 项目类别:
    Research Grant
Geochemical controls on bioavailability and toxicity of nitroaromatics during phytoremediation (TSE03-N)
植物修复过程中硝基芳烃生物利用度和毒性的地球化学控制(TSE03-N)
  • 批准号:
    0329374
  • 财政年份:
    2005
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Sensors: GOALI: Networked Estimation and Decision Computing for Structural Health Monitoring
传感器:GOALI:用于结构健康监测的网络估计和决策计算
  • 批准号:
    0529426
  • 财政年份:
    2005
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Semidefinite Programming for Weight Design in Fast Converging Distributed Algorithms
快速收敛分布式算法中权重设计的半定规划
  • 批准号:
    0423905
  • 财政年份:
    2004
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Methods for Matrix Optimization Problems in Control and Statistical Signal Processing
控制和统计信号处理中矩阵优化问题的方法
  • 批准号:
    9707111
  • 财政年份:
    1997
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
Convex Optimization for Engineering Analysis and Design
工程分析与设计的凸优化
  • 批准号:
    9420565
  • 财政年份:
    1994
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Quadratic Lyapunov Functions and State Feedback via InteriorPoint Optimization
通过 InteriorPoint 优化的二次 Lyapunov 函数和状态反馈
  • 批准号:
    9222391
  • 财政年份:
    1993
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
PYI: Computer Aided System Analysis and Design
PYI:计算机辅助系统分析与设计
  • 批准号:
    8552465
  • 财政年份:
    1986
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant

相似海外基金

Planning: Artificial Intelligence Assisted High-Performance Parallel Computing for Power System Optimization
规划:人工智能辅助高性能并行计算电力系统优化
  • 批准号:
    2414141
  • 财政年份:
    2024
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
eVTOL multi-fidelity hybrid design and optimization for low noise and high aerodynamic performance
eVTOL 多保真混合设计和优化,实现低噪音和高空气动力学性能
  • 批准号:
    10102278
  • 财政年份:
    2024
  • 资助金额:
    $ 15万
  • 项目类别:
    EU-Funded
Development of performance parameter optimization tools for automatic tuning
自动调优性能参数优化工具开发
  • 批准号:
    23K11126
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Collaborative Research: OAC Core: Small: Anomaly Detection and Performance Optimization for End-to-End Data Transfers at Scale
协作研究:OAC 核心:小型:大规模端到端数据传输的异常检测和性能优化
  • 批准号:
    2412329
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Individual optimization strategies for unconscious visual functions contributing to sports performance
无意识视觉功能的个体优化策略有助于运动表现
  • 批准号:
    23H03284
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Planning: Digital Twin for Building Performance Simulation and Optimization in Adaptive Reuse Planning
规划:自适应再利用规划中用于建筑性能模拟和优化的数字孪生
  • 批准号:
    2332015
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Analysis of a Hydrogen Powered Train Performance using Inverse Simulation and Biologically Inspired Optimization Techniques
使用逆向仿真和仿生优化技术分析氢动力列车性能
  • 批准号:
    2907952
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Studentship
SBIR Phase II: Improving fleet operational metrics through service optimization with automated learning of vehicle energy performance models for zero-emission public transport
SBIR 第二阶段:通过服务优化和自动学习零排放公共交通的车辆能源性能模型来改善车队运营指标
  • 批准号:
    2220811
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Cooperative Agreement
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了