Applications of CPS technologies involving the power generation and/or energy conservation.
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Transforming the traditional, single-vehicle-based safety and efficiency control, next-generation vehicles are expected to form platoons for optimizing roadway usage and fuel efficiency while ensuring transportation safety. Two basic enablers of vehicle platooning are vehicular wireless networking and platoon control.
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Motivation: Energy infrastructure is a critical underpinning of modern society. To ensure its reliable operation, a nation--wide or continent--wide situational awareness system is essential to provide high--resolution understanding of the system dynamics such that proper actions can be taken in real--time in response to power system disturbances and to avoid cascading blackouts. The power grid represents a typical highly dynamic cyber--physical system (CPS).
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Motivation: Reliable and resilient operation of cyber-physical systems (CPS) of societal importance such as Smart Electric Grids is critical. Efficient models and tools to perform timely fault diagnostics and prognostics are needed for curtailing systemic failures such as power blackouts. Varying system state caused by the fluctuating power consumption, dynamic control actions, physical component degradation, and interactions with possible software anomalies make the failure analysis, prediction, and mitigation difficult.
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Submitted by KNEW on Wed, 10/23/2013 - 10:16pm
The National Science Foundation will hold the 2013 National Workshop on Energy CPS on December 16-17, 2013 at the Waterview Conference Center located at 1919 N. Lynn Street in Arlington, Virginia. This workshop will offer a unique NSF perspective focusing on the blend of the cyber and physical aspects of energy, and will provide inputs from a broader energy-related community including academia, industry and other federal agencies for a long term CPS research agenda.
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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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The objective of this research is to define programming abstractions and theories of computation with temporal semantics for distributed cyber--physical systems. The approach is to create a coordination language for distributed embedded software that blends naturally with models of physical dynamics and to study the semantics of such a coordination language. The coordination language is a visual modeling language that is based on a rigorous discrete--event concurrent model of computation.
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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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Executive Summary
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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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The SDB project seeks to design, engineer, and evaluate the foundational information substrate for cyberphysical systems in a concrete, canonical form - creation of efficient, agile, model- driven, human-centered building systems. Modern commercial buildings provide increasingly integrated Building Management Systems, but are typically closed or based on proprietary interfaces, are difficult to extend, and it is expensive to add new capabilities.