CPS: Medium: Collaborative Research: The Foundations of Implicit and Explicit Communication in Cyberphysical Systems

CPS:媒介:协作研究:网络物理系统中隐式和显式通信的基础

基本信息

  • 批准号:
    0932114
  • 负责人:
  • 金额:
    $ 43.34万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-09-15 至 2014-08-31
  • 项目状态:
    已结题

项目摘要

Proposal Title: CPS:Medium:Collaborative Research: The Foundations of Implicitand Explicit Communication in Cyberphysical SystemsInstitution: University of California-BerkeleyAbstract Date: 07/30/09The objective of this research is to develop the theoreticalfoundations for understanding implicit and explicitcommunication within cyber-physical systems. The approach istwo-fold: (a) developing new information-theoretic tools toreveal the essential nature of implicit communication in amanner analogous to (and compatible with) classical networkinformation theory; (b) viewing the wireless ecosystem itselfas a cyber-physical system in which spectrum is the physicalsubstrate that is manipulated by heterogeneous interactingcyber-systems that must be certified to meet safety andperformance objectives.The intellectual merit of this project comes from thetransformative technical approaches being developed. The key tounderstanding implicit communication is a conceptualbreakthrough in attacking the unsolved 40-year-old Witsenhausencounterexample by using an approximate-optimality paradigmcombined with new ideas from sphere-packing and cognitive radiochannels. These techniques open up radically new mathematicalavenues to attack distributed-control problems that have longbeen considered fundamentally intractable. They guide thedevelopment of nonlinear control strategies that are provablyorders-of-magnitude better than the best linear strategies. Thekeys to understanding explicit communication in cyber-physicalsystems are new approaches to active learning, detection, andestimation in distributed environments that combine worst-caseand probabilistic elements.Beyond the many diverse applications (the Internet, the smartgrid, intelligent transportation, etc.) of heterogeneouscyber-physical systems themselves, this research reaches out towireless policy: allowing the principled formulation ofgovernment regulations for next-generation networks. Graduatestudents (including female ones) and postdoctoral scholars willbe trained and research results incorporated into both theundergraduate and graduate curricula.NATIONAL SCIENCE FOUNDATIONProposal AbstractProposal:0932410 PI Name:Sahai, AnantPrinted from
提案标题:CPS:中:合作研究:隐式和显式通信在网络物理系统的基础机构:加州大学伯克利分校摘要日期:07/30/09本研究的目的是发展的理论基础,了解隐式和显式通信在网络物理系统。方法是双重的:(a)开发新的信息理论工具,以类似于(并兼容)经典网络信息理论;(B)将无线生态系统本身视为一个网络物理系统,其中频谱是由异构交互网络操作的物理基底,系统必须经过认证,以满足安全和性能目标。该项目的智力价值来自于正在开发的变革性技术方法。理解内隐交际的关键是在概念上的突破,即运用近似最优范式,结合球体填充和认知无线电通道的新思想,对40年来未解决的Witsenhaus的例子进行攻击。这些技术开辟了全新的解决分布式控制问题的途径,这些问题长期以来一直被认为是根本上难以解决的。它们指导了非线性控制策略的发展,这些非线性控制策略比最好的线性控制策略要好几个数量级。理解网络物理系统中显式通信的关键是在分布式环境中结合联合收割机最坏情况和概率元素的主动学习、检测和估计的新方法。除了许多不同的应用(互联网、智能电网、智能交通等)之外,的异构网络物理系统本身,这项研究延伸到无线政策:允许下一代网络的政府法规的原则性制定。研究生(包括女性)和博士后学者将接受培训,研究成果将纳入本科和研究生课程。

项目成果

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Venkatesh Saligrama其他文献

A Provably Efficient Algorithm for Separable Topic Discovery
一种可证明有效的可分离主题发现算法
Outlier detection via localized p-value estimation
通过局部 p 值估计进行异常值检测
"active Boosted Learning" Active Boosted Learning (actboost)
“主动提升学习”主动提升学习(actboost)
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Venkatesh Saligrama;K. Trapeznikov;D. Castañón
  • 通讯作者:
    D. Castañón
Graph-based Learning with Unbalanced Clusters
具有不平衡集群的基于图的学​​习
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jing Qian;Venkatesh Saligrama;Manqi Zhao
  • 通讯作者:
    Manqi Zhao
Broadband Dispersion Extraction Using Simultaneous Sparse Penalization
使用同时稀疏惩罚的宽带色散提取
  • DOI:
    10.1109/tsp.2011.2160632
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    S. Aeron;S. Bose;H. Valero;Venkatesh Saligrama
  • 通讯作者:
    Venkatesh Saligrama

Venkatesh Saligrama的其他文献

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{{ truncateString('Venkatesh Saligrama', 18)}}的其他基金

Collaborative Research: CIF: Small: Learning from Multiple Biased Sources
合作研究:CIF:小型:从多个有偏见的来源学习
  • 批准号:
    2007350
  • 财政年份:
    2020
  • 资助金额:
    $ 43.34万
  • 项目类别:
    Standard Grant
CPS: Synergy: Data Driven Intelligent Controlled Sensing for Cyber Physical Systems
CPS:协同:网络物理系统的数据驱动智能控制传感
  • 批准号:
    1330008
  • 财政年份:
    2013
  • 资助金额:
    $ 43.34万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: A Unifying Approach for Identification of Sparse Interactions in Large Datasets
CIF:小型:协作研究:识别大型数据集中稀疏交互的统一方法
  • 批准号:
    1320566
  • 财政年份:
    2013
  • 资助金额:
    $ 43.34万
  • 项目类别:
    Standard Grant
From Frames to Events: A Statistical Approach to Activity Analysis in Multi-Camera Systems
从帧到事件:多摄像机系统中活动分析的统计方法
  • 批准号:
    0905541
  • 财政年份:
    2009
  • 资助金额:
    $ 43.34万
  • 项目类别:
    Standard Grant
Workshop on Networked Sensing, Information and Control; Boston, MA, Winter 2006
网络传感、信息和控制研讨会;
  • 批准号:
    0548822
  • 财政年份:
    2005
  • 资助金额:
    $ 43.34万
  • 项目类别:
    Standard Grant
CAREER: A Systems Approach to Networked Decision Making in Uncertain Environments
职业:不确定环境中网络决策的系统方法
  • 批准号:
    0449194
  • 财政年份:
    2005
  • 资助金额:
    $ 43.34万
  • 项目类别:
    Continuing Grant

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