Modernized electrical grid automated to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.
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This project focuses on the formal design of semi-autonomous automotive Cyber Physical Systems (CPS). Rather than disconnecting the driver from the vehicle, the goal is to obtain a vehicle where the degree of autonomy is continuously changed in real-time as a function of certified uncertainty ranges in driver behavior and environment reconstruction.
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Critical infrastructure systems - electricity grids, transportation networks, gas and water distribution networks - serve the needs of millions of people with extraordinary reliability. These large-scale systems comprise 106 108 individual elements (humans and hardware) whose actions are inconsequential in isolation but profoundly important in aggregate. This proposal focuses on coordination of these elements in smart infrastructure systems with integrated ubiquitous sensing, communications, computation, and control.
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A primary objective of this research is to establish a foundational framework for smart grids that enables significant penetration of renewable DERs and facilitates flexible deployments of plug-and-play applications. Under this common theme, the PIs have taken a data analytics perspective to explore rigorous approaches in modeling, optimization, and control of wind generation integration.
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Growing demands on our civil infrastructure have heightened the need for smart structural components and systems whose behavior and performance can be controlled under a variety of loading scenarios such as high winds and earthquakes.
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This research proposal focuses on event--based information acquisition, state estimation and control in the context of high dimensional cyber physical systems. In particular, as part of the cyber system a (set of) decision maker(s) or agents is responsible for the acquisition of information, learning, and control about the underlying physical system of interest. The information acquisition process may be instigated or adapted based on events in the systems.