CAREER: Distributed Control and Constraints Satisfaction in Complex Networked Systems

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本学院早期职业发展（Career）项目的研究目标是研究大规模网络动态系统中保证约束满足的分布式控制器的系统分析和设计。该项目将侧重于网络系统，其中约束具有基本作用：它们的局部违反可能导致全球网络故障。对于这类系统，该项目将提供一个理论和算法，以系统的方式分析和设计分布式控制器，这些控制器是预测性的，基于模型的，并明确地考虑到系统约束。的概念？基于模型的预测吗?,吗?意图的沟通？然后呢?协调规则?广泛应用于社会和生物网络，将是整个研究项目开发的三个关键要素，将用于保证网络的全局可行性、稳定性和鲁棒性。如果成功，本研究的结果将为分布式控制器的系统分析和设计提供一套工具，保证性能和约束满足。这将消除实现令人满意的性能和最小约束违反所需的冗长和昂贵的试验和错误设计过程的需要。可能的应用领域包括电网、建筑管理、国土安全、国防、交通和环境监测。工程专业的研究生和本科生将受益于课堂教学、参与PI？s实验室。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The research objective of this Faculty Early Career Development (CAREER) project is to study the systematic analysis and design of distributed controllers that guarantee constraint satisfaction in large scale networked dynamical systems. The project will focus on networked systems where constraints have a fundamental role: their local violation can lead to a global network failure. For such class of systems the project will deliver a theory and algorithms for analyzing and designing in a systematic way distributed controllers which are predictive, model-based and explicitly take into account systems constraints. The concepts of ?model-based predictions?, ?communication of intent? and ?coordination rules?, widely used in social and biological networks, will be the three key elements in the overall research project development which will be used to guarantee global feasibility, stability and robustness of the network. If successful, the results of this research will provide a set of tools for the systematic analysis and design of distributed controllers with guarantees on performance and constraint satisfaction. This will eliminate the need of a lengthy and expensive trial and error design procedure required for achieving satisfactory performance and minimum constraint violation. Possible pplication areas include power networks, building management, homeland security, defense, transportation and environmental monitoring. Graduate and undergraduate engineering students will benefit through classroom instruction, involvement in the research and the design of an experiment in the PI?s laboratory.