University of California, Berkeley
Grant: $430,002 - National Science Foundation - Jun. 30, 2009
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Award Description: 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 application 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 Principal Investigator's laboratory.
Project Description: We have focused on the study of Fundamental Feasibility Properties of large scale systems composed of storage devices. We have studied and are studying efficient methods for computing controlled invariant sets for large scale networked systems. A technical report is under preparations. We also have started building an experimental setup which will allow us to analyze, test, and develop further our theory of distributed constrained predictive control for networked systems. The experiment will be used for both research and educational purposes. We are building the control board and control algorithms for a Micro Unmanned Vehicle.
Jobs Summary: Two jobs have been created on this project: A Graduate Student Researcher job and a faculty summer job. (Total jobs reported: 1)
Project Status: Less Than 50% Completed
This award's data was last updated on Jun. 30, 2009. Help expand these official descriptions using the wiki below.
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