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Research Abstracts Online
January 2008 - March 2009

University of Minnesota Twin Cities
Institute of Technology
Department of Electrical and Computer Engineering

PI: Murti V. Salapaka

Distributed Architectures for Control

Recent technology has led to systems where it is critical to identify architectures that distribute the controller effort over sub-controllers to respect the information flow and/or resource constraints. The communication uncertainty between sub-controllers partly governs the optimality of the architecture of the controller. The related synthesis methodology for optimal distributed controller has to address internal stability concerns and has to incorporate the effect of communication uncertainty into the performance metric. These researchers are developing such a methodology. They plan to demonstrate that different canonical architectures of a centralized design result in appreciably different performance. They are developing methods to identify architectures of information flow where the optimal performance problem is convex. In addition, they are obtaining synthesis methods to incorporate robustness measures with respect to model uncertainty of the communication channel for the associated distributed architectures. These methods will be further refined for specific structures of information.

Group Member

Pranav Agarwal, Graduate Student