CPSPI MTG 2014 Posters, Videos and Abstracts
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A primary objective of this research is to establish a foundational framework for smart grids that enables significant penetration of renewable DERs and facilitates flexible deployments of plug-and-play applications. Under this common theme, the PIs have taken a data analytics perspective to explore rigorous approaches in modeling, optimization, and control of wind generation integration.
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The current project, collaboration between the MIT and the University of Michigan, concerns the development of complex models to describe driver decision making at intersections. MIT is focused on modeling and Michigan on data collection and method development. Two experiments have been conducted so far (24 subjects/experiment) using a NADS MiniSim driving simulator for which extensive programming was required. Subjects drove through 2 sets of 70 intersections following a lead vehicle (and being followed).
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Motivation: Energy infrastructure is a critical underpinning of modern society. To ensure its reliable operation, a nation--wide or continent--wide situational awareness system is essential to provide high--resolution understanding of the system dynamics such that proper actions can be taken in real--time in response to power system disturbances and to avoid cascading blackouts. The power grid represents a typical highly dynamic cyber--physical system (CPS).
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We developed an analytical and computational framework for vulnerability analysis of dynamical power networks to link and node-based attacks. For stochastic link failure attacks, we provided a systematic procedure for ranking links (transmission lines) of power network in the order of their critical importance to maintain synchronization among network generators.
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Cerebral Palsy (CP) is the most common motor disorder of central origin in childhood and affects at least 2 children per 1000 live births every year. This project will research new methods and tools in motor/cognitive assessment for small children (5-8 years old) with Cerebral Palsy.
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Identification and tracking of nuclear materials is a problem of obvious importance, and has attracted a great deal of engineering effort in the recent past. The technical challenges of this problem are compounded by the fact that nuclear materials that are of interest vary widely in their concentrations and compositions, and are often concealed with shielding material, and buried in background radiation that is always present, but varies widely in strength and spectrum over time and space.
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The objective of this research is the development of a framework for assessing the reliability and safety of robotic surgery systems during development, field testing, and general deployment. The framework uses accurate simulations to assess pre-clinical reliability before deployment. After deployment, the framework uses data collection through online monitoring of the system as it is being used in the field, followed by analysis to obtain assessments of operational reliability and safety.
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The project aims to establish a Cyber-Physical Infrastructure for urban environments and address fundamental problems that involve data collection, resource allocation, real-time decision making, safety, and security.
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Despite the integration of advanced cyber technologies in monitoring and communication in electric power networks, design and development of control systems, and in particular, Remedial Action Schemes (RAS) tend to evolve at a very slow pace. The objective of this research is to study new distributed system modeling techniques to faithfully capture the physical and communication system characteristics as well as the "wave" like propagation of some disturbances.
