Lead PI Co-PI(s) Project Pieter Abbeel (UC Berkeley)   Learning for Control of S

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The objective of this research is to develop methods for the operation and design of cyber physical systems in general, and energy efficient buildings in particular. The approach is to use an integrated framework: create models of complex systems from data; then design the associated sensing-communication-computation-control system; and finally create distributed estimation and control algorithms, along with execution platforms to implement these algorithms.  A special emphasis is placed on adaptation.

The objective of this research is to understand how pervasive information changes energy production, distribution and use. The design of a more scalable and flexible electric infrastructure, encouraging efficient use, integrating local generation, and managing demand through awareness of energy availability and use over time, is investigated. The approach is to develop a cyber overlay on the energy distribution system in its physical manifestations: machine rooms, buildings, neighborhoods, isolated generation islands and regional grids.

A presentation by Marija Ilic (Carnegie Mellon) at the National CPS PI Meeting 2010 on Smart Grids as a Means of Implementing Sustainable Energy Services: The Key Role of Dynamic Monitoring and Decision Systems (DYMONDS)

This CPS research aims to enable intelligent telesurgery in which a surgeon, or a distributed team of surgeons, can work on tiny regions in the body with minimal access.