Control Techniques for Complex Networks

这一建议涉及复杂系统的策略综合和性能评估。研究将集中在开发方法，以实现在复杂网络的可靠性，受到实质性变化。具体的主题包括资源分配，性能评估，以及快速模拟和适应的新方法。本文将输电网作为本研究的主要应用，并将为理论研究指明方向。智力优势：拟议的研究将建立在随机系统和随机网络的最新进展基础上，为复杂、相互关联的系统带来模型简化和政策综合的新方法。该项目还将成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。这个项目中最基本的问题是复杂性管理。在各种各样的应用中，人们寻求合理复杂性的控制解决方案，而不管要控制的系统有多复杂。对于预测和策略改进而言，解决方案为用户提供一些直觉是非常重要的。集中最优控制方案将被用作分析分散政策的基准，并作为构建适当的市场机制以确保分散环境下可靠性的工具。传统的配电系统可靠性经济分析是基于静态（平衡）模型的。虽然已经获得了许多见解，但就像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，在分散的环境下，构建可处理的电力分配系统动态模型可以揭示低储量的来源。这项研究的主要目标是发现对抗这些缺陷的新方法。更广泛的影响对学习和模拟的加速算法的基础研究在各个方面具有潜在的影响。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，因此有很高的概率交叉到不同的领域。大规模电力的研究具有巨大的潜在商业影响。对解除管制市场的动态有一个清晰的认识，将有助于合理评价可靠性的社会价值，构建有效的激励机制和政策工具，确保高效的市场产出。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，并设计机制，以确保可靠的和。可靠的服务保证。将启动csl - ece -经济系关于分布式网络的系列研讨会。教授们将被邀请来自全国各地，甚至远至印度，展示他们最近的工作。这将加强伊利诺伊大学内部以及网络领域更广泛的研究界的现有合作。该系列研讨会也将为参与的学生提供优秀的培训。

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.