2010 CPS PI Meeting

Start: Aug 10 2010
End: Aug 12 2010

The Westin Arlington Gateway, Arlington, VA

[Meeting Invitation] [Agenda] [Guidance for Participants] [Poster Assignment] [Register for Meeting] [Hotel Reservations]

 

The CPS Principal Investigator Meeting provides a forum for a wide range of stakeholders in academia, industry and federal agencies to review new developments in CPS foundations, to identify new, emerging applications, and to discuss technology gaps and barriers. The program of the meeting includes presentations about projects funded by NSF and other agencies, panels and discussion groups.

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Visible to the public Understanding Robustness of Battery Supported Cyber-Physical Systems

This research aims to introduce methods to analyze the robustness of battery supported cyber physical systems under co-designed control, scheduling, and battery management algorithms. Robustness refers to the ability to maintain system performance under perturbations. Robustness in controller design has been well defined and understood for a large class of feedback control systems, yet robustness of scheduling and battery management algorithms is relatively less understood.
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Visible to the public Towards a Community Seismic Network

This research addresses the following fundamental problem in cyber-physical systems: How can we design systems that respond to critical events, such as earthquakes, based on data from large numbers of noisy, community-held sensor devices?  The general goal of our research is to develop theory and practical systems that enable ordinary people to use technology collectively to respond to critical events.
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Visible to the public Random Matrix Recursions and Estimation and Control over Lossy Networks

Many of the future applications of systems and control that will pertain to cyber-physical systems are those related to problems of (pos
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Visible to the public Physical Modeling and Software Synthesis for Self-Reconfigurable Sensors in River Environments

This collaborative research project examines the role of software synthesis for monitoring and planning of autonomous sensors evolving on tidally forced rivers. The goal of the sensors is the coordinated sampling of currents and salinity to reconstruct the distributed state of the river. This project integrates the development of theory for the coordination of autonomous agents in motion-constrained environments, and of algorithms to perform motion planning tasks, with software tools for design, analysis, and code synthesis for implementation, as well as inverse modeling (i.e.
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Visible to the public Non-Volatile Computing for Embedded Cyber-Physical Systems

This project aims to develop a new computing device where non-volatile elements based on flash (floating gate) transistors are pervasively used in all levels of the memory hierarchy to enable almost instantaneous check pointing and recovery of program state not subject to the data bus bandwidth limit. Effectively, this new system allows its power source to be cut off at any time, and yet resumes regular operation without loss of information when the power comes back.
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Visible to the public Mathematical, Computational, and Perceptual Foundations for Interactive Cyber-Physical Systems: Year One

The objective of this research is to create interfaces that enable people with impaired sensory-motor function to control interactive cyber-physical systems such as artificial limbs, wheelchairs, automobiles, and aircraft. The approach is based on the premise that performance can be significantly enhanced merely by warping the perceptual feedback provided to the human user. A systematic way to design this feedback will be developed by addressing a number of underlying mathematical and computational challenges.

 

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Visible to the public Low-Impact Monitoring of Streaming Systems

The centerpiece of the activities to date on this project is the design, development, and implementation of the TimeTrial performance monitor. TimeTrial is a tool that enables observation of critical performance properties of streaming data applications without significantly perturbing the execution of the application under observation. It supports applications deployed on architecturally diverse computer systems, initially including the combination of multicore processors and/or field-programmable gate arrays (
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Visible to the public Learning to Sense Robustly and Act Effectively

The hypothesis of this research is that a successful cyber-physical system will need to be a learning agent, learning the properties of its sensors, effectors, and environment from its own experience, and adapting over time. Inspired by human developmental learning, we believe that foundational concepts such as Space, Object, Action, etc., are essential for such a learning agent to abstract and control the complexity of its world. To bridge the gap between continuous interaction with the physical environment, and discrete symbolic descriptions th