Applications of CPS technologies that involve communications systems.
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Abstract:
A more recent thrust of our work in this project focuses on continuous control tasks performed by a human operator. Tracking random-appearing and oscillatory signals is a human in the loop task that has been used in many areas such as piloting of vehicles, rehabilitation engineering, and neuroscience. Understanding the control strategies in a human operator for these tracking tasks is of great importance in these areas.
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Large-scale critical infrastructure systems, including energy and transportation networks, comprise millions of individual elements (human, software and hardware) whose actions may be inconsequential in isolation but profoundly important in aggregate. The focus of this project is on the coordination of these elements via ubiquitous sensing, communications, computation, and control, with an emphasis on the electric grid.
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Telerobotic systems are cyber-physical systems where human operators and robots exchange information using a combination of publicly available communication networks and temporary ad-hoc wireless and satellite networks.
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Networks of autonomous coordinated robots areprototypical examples of cyber-physical systems. Already today and increasingly in the near future, robotic systems will perform a broad range of environmental monitoring and logistic tasks. Aquatic robots will monitor oceanic life and conditions. Teams of vehicles will perform exploration, firefighting and search and rescue operations.
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Wireless body area sensing networks (WBANs) have the potential to revolutionize health care in the near term and enhance other application domains including sports, entertainment, military and emergency situations. These WBANs represent a novel cyber-physical system that unites engineering systems, the natural world and human individuals.
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Cyber-physical systems regulating critical infrastructures, such as electrical grids and water networks, are increasingly geographically distributed, necessitating communication between remote sensors, actuators and controllers. The combination of networked computational and physical sub- systems leads to new security vulnerabilities that adversaries can exploit with devastating consequences.
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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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The aims of this project are to contribute the fundamental physical and algorithmic building blocks of a novel cyber--physical two--way communication platform designed to enable accurate training and monitoring of canines. The project efforts lie at the intersection of computer science, electrical engineering, and veterinary behavior.
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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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This project features conception, design, and deployment of a wireless network of embedded devices, for monitoring the behavior of animals in the wild. The system is being deployed and tested in biologically relevant scenarios.
