Systems where control loops are closed through a real-time network.
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Abstract:
This project is to develop dynamical models of distributed computation systems that are resilient to noise, unreliable communication and other source uncertainty. The key idea is centered on the development of optimization systems. These are dynamical systems that (solve) stabilize around the optimal solution of a (static) convex optimization problem. If the optimization problem is separable, then the designed dynamic system decomposes into a set of locally interacting dynamic systems.
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This project explores balancing performance considerations and power consumption in cyber-physical systems, through algorithms that switch among different modes of operation (e.g., low-power/high-power, on/off, or mobile/static) in response to environmental conditions. The main theoretical contribution is a computational, hybrid optimal control framework that is connected to a number of relevant target applications where physical modeling, control design, and software architectures all constitute important components.
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Cyber-physical system (CPS) applications for urban systems often involve sophisticated interaction and coordination between physical and computational resources with a large number of sensing and actuation devices that share information communication networks.
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Modern cyber-physical applications appearing in, e.g., industrial and building automation, often utilize wireless communication to transfer information between sensors, controllers, and actuators. The wireless devices used to carry out the communication, however, are characterized by resource constraints, e.g., limited battery power resources for transmission. To achieve a desirable balance between control application performance and resource utilization, efficient resource management mechanisms are necessary.
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Central to the operation of cyber-physical systems (CPS) is accurate and reliable knowledge of time, both for meaningfully sensing and controlling the physical world state and for correct, high-performance and energy-efficient orchestration of computing and communication operations. Emerging applications that seek to control agile physical processes or depend on precise knowledge of time to infer location and coordinate communication, make use of time with diverse semantics and dynamic quality requirements.
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Submitted by davidk on Wed, 10/22/2014 - 11:19am
The Advanced Research Projects Agency Energy (ARPA-E) is seeking researchers interested in partnering on "Traveler Response Architecture using Novel Signaling for Network Efficiency in Transportation" (TRANSNET). The overall objective of the TRANSNET program is to reduce energy use in a multi-modal, urban transportation network through network control mechanisms employing personalized signaling. More information is located under RFI-0000013 located at https://arpa-e-foa.energy.gov/.
