CAREER: Distributed Control and Constraints Satisfaction in Complex Networked Systems

职业：复杂网络系统中的分布式控制和约束满意度

• 批准号: 0844456
• 负责人: Francesco Borrelli
• 金额: $ 43万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0844456&HistoricalAwards=false
• 关键词: CAREER; Distributed; Control; Constraints; Satisfaction

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.

该奖项根据 2009 年美国复苏和再投资法案（公法 111-5）提供资金。该学院早期职业发展（CAREER）项目的研究目标是研究分布式控制器的系统分析和设计，以保证大规模网络动力系统中的约束满足。该项目将重点关注约束具有根本性作用的网络系统：局部违规可能导致全球网络故障。对于此类系统，该项目将提供一种理论和算法，用于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、基于模型的并明确考虑系统约束。 “基于模型的预测”、“意图沟通”的概念广泛应用于社会和生物网络的“协调规则”将成为整个研究项目开发的三个关键要素，用于保证网络的全局可行性、稳定性和鲁棒性。如果成功，这项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，并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且昂贵的试错设计过程。可能的应用领域包括电力网络、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通过课堂教学、参与 PI 实验室的研究和实验设计而受益。