CPSPI MTG 2014 Posters, Videos and Abstracts
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The objective of this research is to develop a theory of "ActionWebs", that is, networked embedded sensor-rich systems, which can be tasked to coordinate multiple decision- makers. The approach is to first identify models of ActionWebs using stochastic hybrid systems, an interlinking of continuous dynamical physical models with discrete state representations of interconnection and computation. Second, algorithms will be designed for tasking individual sensors, based on information objectives for the entire system.
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This project is concerned with ensuring operational safety of complex cyber-physical systems such as automobiles, aircraft, and medical devices. Modern development techniques for such systems rely on independent implementation of safety features in software and subsequent integration of these features within system platform architectures . The current trend in developing these systems, driven by the need to reduce cost and energy consumption, is to share computational resources between different features .
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The main goal of this project is to design algorithms and architectures for large scale integration of electrical vehicles in power grids. In particular the following topics will be explored:
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This project will design next--generation defense mechanisms to protect critical infrastructures, such as power grids, large industrial plants, and water distribution systems. These critical infrastructures are complex primarily due to the integration of cyber and physical components, the presence of high--order behaviors and functions, and an intricate and large interconnection pattern.
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Design of cyber-physical systems today relies on executable models. Designers develop models, simulate them, find defects, and improve their designs before the system is built, thus greatly reducing the design costs.
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Buildings in the U.S. contribute to 39% of energy use, consume approximately 70% of the electricity, and account for 39% of CO2 emissions. Hence, developing green building architec- tures is an extremely critical component in energy sustainability. The investigators will develop a unified analytical approach for green building design that comprehensively manages energy sustainability by taking into account the complex interactions between these systems of systems, providing a high degree of security, agility and robust to extreme events.
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This research is focused on the co-design of platform and control of Cyber-Physical Systems (CPS). Limited and shared resources among several control and non-control applications in CPS introduce delays in transmitted messages, which in turn can degrade system performance or even cause instabilities. While a worst-case delay based design can accommodate such delays, they often are pessimistic and lead to an overdesign as worst case delays happen infrequently.
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Data-driven intelligence is an essential foundation for physical systems in transportation safety and efficiency, area surveillance and security, as well as environmental sustainability. While sophisticated data analysis and synthesis can be well supported in large data centers, future intelligent systems require on-the-scene processing with faster responses and less dependence on the unreliable (often wireless) data communications in the field. Field processing must consume low power for easy deployment and self-sustainability.
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Growing demands on our civil infrastructure have heightened the need for smart structural components and systems whose behavior and performance can be controlled under a variety of loading scenarios such as high winds and earthquakes.
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Functional electrical stimulation (FES) is a promising technology for activating muscles in spinal cord injured (SCI) patients. The objective of our project has been to develop an intuitive user interface and control system for FES that allows high-level tetraplegic patients to regain the use of their own arm. This work has had two primary outcomes: contributions to the development of a technology that benefits those with high-level SCI, and the development of biologically-inspired design principles for cyber-physical systems.
