The terms denote engineering domains that have high CPS content.
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This project addresses the management of the air traffic system, a cyber-physical system where the need for a tight connection between the computational algorithms and the physical system is critical to safe, reliable and efficient performance. Indeed, the lack of this tight connection is one of the reasons current systems are overwhelmed by the ever increasing traffic and suffer when there is any deviation from the expected (e.g., changing weather).
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This CPS research focuses on collaborative driving, specifically in convoy type applications, and testing of hybrid systems. Specfically, this research investigates the development of the computational issues and testing aspects of a newer, more tactical hybrid state autonomous controller for multi-robot exploration scenarios for DSTO Multi Autonomous Ground-robotic International Challenge (MAGIC 2010) and the evaluation of th eautomotive convoy-based scenarios of the Grand Cooperative Driving Challenge (May 2011).
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Cyber-physical systems research aims to provide devices with autonomous decision-making that are robust enough to be employed in a variety of important applications. Thus, it is necessary to design physically-grounded intelligent agents that autonomously plan and coordinate their actions as they interact with complex physical processes. Physically-grounded means that the agents must model the physical world in a realistic manner and consider the effects of physical constraints.
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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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The objective of this project is to investigate fundamental issues in network control and distributed coordination of wireless sensor and robotic networks. The research approach is to exploit intrinsic properties of such systems to ensure stability and high performance despite the deleterious network effects.
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Augmenting dedicated control systems with
real-time sensor
and actuator networks poses a number of new challenges in control system design that cannot be addressed with traditional process
control methods, including: a) the handling of additional, potentially
asynchronous and/or delayed
measurements in the overall networked control system, and b) the
substantial increase in the number of process state variables, manipulated inputs, and measurements which may impede the ability of
centralized control systems to carry out real-time calculations within th
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This research project addresses fundamental challenges in the verification and analysis of distributed hybrid systems. In particular, we are working to minimize the mismatch between the combinations of dynamics that occur in complex physical systems and the limited kinds of dynamics currently supported in analysis.
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The principal objective of this project is the development of novel control architectures and computationally efficient controller design algorithms for distributed cyber-physical systems with decentralized information infrastructures and limited communication capabilities. Interest is in distributed cyber-physical systems where the system components are able to communicate with one another.
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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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The objective of this research is to develop theoretical foundations for understanding implicit and explicit communication within cyber-physical systems.
