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.

该建议涉及复杂系统的政策综合和绩效评估。研究将关注开发在具有实质性可变性的复杂网络中可靠性的方法。 Speci.c主题包括资源分配，性能评估以及快速模拟和适应的新方法。电力传输网络将作为这项研究的主要应用，并将指导理论研究的方向。智能优点拟议的研究将基于随机系统的最新进展，然后随机网络带来新的方法来模型减少和策略综合复杂的，相互联系的系统。该项目还将作为经济学和控制系统研究人员之间的桥梁，以综合这些.ELD的最新创新。该项目中最基本的问题是复杂性管理。在各种各样的应用程序中，尽管需要控制这些系统的复杂性，但仍寻求合理复杂性的控制解决方案。对于预测和策略改进的目的，该解决方案为用户提供一些直觉非常重要。中心化的最佳控制解决方案将用作分析分散质量分析的基准，并用作构建适当的市场机制以确保在偏心设置中的可靠性来确保在电源分布中的可靠性分析。尽管已经获得了很多洞察力，但就像在飞机的Acontrol系统的设计中一样，静态平衡模型不足以解决稳健性且可靠性。 PI最近表明，可以构建电源分布系统的可牵引动力模型，该模型揭示了分散式设定中低储量来源的洞察力。发现与这些研究的新方法是这项研究的主要目标。BroaderImpactfundaMental对学习和仿真的加速算法的研究具有潜在的影响，包括各种.ELD，包括计算机视觉和数据挖掘。同样，控制技术的开发是基于最小的结构假设，因此，跨界有很高的探索性能在各种.ELD中。搜索大规模电力的研究具有巨大的潜在商业影响。对放松管制市场的动态的明确理解将为.R.首次提供对可靠性的社会价值的价值，以及构建E.comective激励措施和政策工具，以确保E.Cient Market的成果。这些结果将为决策者提供预测工具，以预测用户和供应商的行为，并为确保可靠的Ande.Ande.cient服务提供设计机制。将启动CSL-ECE-经济学部门的分布式网络研讨会系列节目系列系列节目系列。将邀请在全国范围内邀请全国各地，以及在印度范围内的范围内的工作。网络区域。研讨会系列还将为参与学生提供出色的培训。