Performance analysis and limitations of control systems over communication networks

这项建议涉及复杂系统的政策综合和绩效评估。研究将集中在开发方法，以实现在复杂网络中的可靠性，这些网络受到很大的变异性。具体主题包括资源分配、性能评估以及快速模拟和适应的新方法。输电网络作为本研究的主要应用，将为理论研究指明方向。智力价值本研究将建立在随机系统和随机网络的最新进展的基础上，为复杂、相互关联的系统的模型降阶和策略综合带来新的方法。该项目还将作为经济学和控制系统研究人员之间的桥梁，以综合这些领域的最新创新。该项目解决的最基本问题是复杂性管理。在各种应用中，人们寻求合理复杂性的控制解决方案，尽管要控制的系统很复杂。集中最优控制解将作为分析分散策略的基准，并作为构建适当的市场机制以确保分散设置下的可靠性的工具。传统的配电系统可靠性经济分析是基于静态(均衡)模型的。虽然已经获得了许多见解，就像在飞机控制系统的设计中一样，但静态平衡模型不足以解决健壮性和可靠性问题。PI最近表明，有可能构建易于处理的配电系统动态模型，以揭示分散环境下低储量的来源。发现新的方法来对抗这些缺陷是这项研究的主要目标。广泛的影响用于学习和模拟的加速算法的基础研究具有潜在的影响各个领域，包括计算机视觉和数据挖掘。同样，要开发的控制技术是基于最小的结构假设，因此很有可能交叉到各种领域。大规模电力的研究具有巨大的潜在商业影响。对放松管制的市场的动态有一个清楚的了解，这将第一次提供对可靠性的社会价值的适当评估，并建立有效的激励和政策工具，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有效的服务。CSL-欧洲经委会-经济系关于分布式网络的系列研讨会将启动。来自全国各地的教授将被邀请介绍最近的工作。这将加强伊利诺伊大学内部以及网络领域更广泛的研究社区之间的现有合作。该系列研讨会还将为参与的学生提供出色的培训。

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.