Research
Complex Systems
Decentralized control of multi-agent systems has attracted considerable attention, especially with the availability of low cost and powerful computing hardware.
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Decentralized Stochastic Control and Learning
Modern engineering systems are increasingly complex and comprise of many interdependent dynamic parts. This can enable the development of a novel framework to process large amounts of data and deliver real-time control actions that maximize associated benefits.
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Connected and Automated Vehicles (CAVs)
Connected and automated vehicles (CAVs) provide the most intriguing opportunity for enabling users (including individual vehicles and traffic control centers) to better monitor transportation network conditions and make better operating decisions to improve safety and reduce pollution, energy consumption, and travel delays.
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Sociotechnical Systems Approach to Smart Cities
Addressing our pressing challenges related to the increasing demand for energy, we must make fundamental transformations in how societies use and access transportation.
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Hybrid Electric Vehicles (HEVs) and Plug-In HEVs (PHEVs)
Hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) have attracted considerable attention due to their potential ability to reduce petroleum consumption and greenhouse gas (GHG) emissions.
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Driver Information Systems
Driver feedback systems have the potential to improve driving safety and efficiency by providing instructions to drivers aimed at improving their driving style.
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Sustainable Buildings
Cities around the world are growing fast. It is expected that more than two-thirds of the world will live in cities by 2050.
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Self-Learning Control of Advanced Powertrain Systems
Increasing demand for improving fuel economy and reducing emissions without sacrificing performance have induced significant research and investment in advanced internal combustion engine technologies.
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