Control Techniques for Complex Networks

复杂网络的控制技术

• 批准号: 0523620
• 负责人: Sean Meyn
• 金额: --
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0523620&HistoricalAwards=false
• 关键词: Control; Techniques; Complex; Networks

This proposal concerns policy synthesis and performance evaluation for complex systems. Researchwill focus on the development of methods to achieve reliability in complex networks thatare subject to substantial variability. Speci.c topics include resource allocation, performanceevaluation, and new approaches to fast simulation and adaptation. Power transmission networksare taken as a primary application of this research, and will guide the directions for theoreticalresearch.Intellectual MeritsThe proposed research will build upon recent advances in stochastic systems and stochastic networksto bring new approaches to model reduction and policy synthesis for complex, interconnectedsystems. The project will also serve as a bridge between researchers in economics andcontrol systems to synthesize recent innovations from these .elds.The most basic issue addressed in this project is complexity management. In a variety ofapplications one seeks control solutions of reasonable complexity in spite of the complexity of thesystem to be controlled. It is very important that the solution provide some intuition to the userfor the purposes of both prediction and policy improvement.Centralized optimal control solutions will be used as a benchmark in analyzing decentralizedpolicies, and as a tool for constructing appropriate market mechanisms to ensure reliability in adecentralized setting.Traditional economic analysis to address reliability in power distribution systems is based ona static (equilibrium) model. While much insight has been gained, just as in the design of acontrol system for an airplane, a static equilibrium model is inadequate to address robustness andreliability. The PIs have shown recently that it is possible to construct tractable dynamic modelsof power distribution systems that reveal insight on the sources of low reserves in a decentralizedsetting. The discovery of new methods to combat these de.ciencies is a major goal of this research.Broader ImpactFundamental research on accelerated algorithms for learning and simulation has potential impactin various .elds, including computer vision and data mining. Similarly, the control techniquesto be developed are based on minimal structural assumptions, and consequently there is highprobability of crossover into various .elds.Research on large-scale electric power has tremendous potential commercial impact. A clearunderstanding of the dynamics of deregulated markets will provide for the .rst time a properevaluation of the social value of reliability, and the construction of e.ective incentives and policytools to ensure e.cient market outcomes. These results will provide forecasting tools for policymakers to predict behavior of users and suppliers, and design mechanisms to ensure reliable ande.cient service.A CSL-ECE-Economics Department seminar series on distributed networks will be initiated.Professors will be invited from across the country, and as far away as India to present recent work.This will strengthen existing collaborations within the University of Illinois as well as the broaderresearch community in the networks area. The seminar series will also provide excellent trainingfor the students involved.

这一建议涉及复杂系统的政策综合和绩效评估。研究将集中在方法的发展，以实现在复杂网络的可靠性，受到很大的变化。主题包括资源分配，performanceevaluation，以及快速模拟和适应的新方法。电力传输网络作为本研究的主要应用，并将指导方向的理论研究。智力MeritsThe拟议的研究将建立在随机系统和随机网络的最新进展，带来新的方法来模型简化和政策合成的复杂，互连系统。该项目还将作为经济学和控制系统研究人员之间的桥梁，综合这些领域的最新创新。在各种各样的应用中，人们寻求合理复杂的控制解决方案，尽管要控制的对象很复杂.这是非常重要的，解决方案提供一些直观的预测和政策改进的目的user.Centralized最优控制解决方案将被用来作为一个基准，在分析decentralized policies，并作为一种工具，建立适当的市场机制，以确保可靠性在decentralized setting.Traditional经济分析，以解决配电系统的可靠性是基于一个静态（均衡）模型。虽然已经获得了很多见解，正如在飞机控制系统的设计中一样，静态平衡模型不足以解决鲁棒性和可靠性问题。PI最近表明，有可能构建易于处理的配电系统动态模型，揭示分散环境中低储量来源的洞察力。发现新的方法来对抗这些缺陷是本研究的主要目标。更广泛的影响学习和模拟加速算法的基础研究具有潜在的影响。同样，控制技术的发展是基于最小的结构假设，因此有很高的可能性交叉到各种领域。大规模电力的研究具有巨大的潜在商业影响。对放松管制的市场动态的清晰理解将首次提供对可靠性的社会价值的正确评估，以及有效激励和政策工具的构建，以确保有效的市场结果。这些结果将为政策制定者提供预测工具，以预测用户和供应商的行为，并设计机制，以确保可靠和优质的服务。一个关于分布式网络的CSL-ECE-经济系系列研讨会将启动。将邀请来自全国各地的教授，这将加强伊利诺伊大学内部现有的合作以及更广泛的研究，社区在网络领域。系列研讨会还将为参与的学生提供出色的培训。