This project is based on an award from the Office of the Emerging Frontiers in Research and Innovation (EFRI), National Science Foundation, USA under the topic Cognitive Optimization and Prediction: From Neural Systems to Neurotechnology (COPN). The title of the award is “EFRI-COPN: Neuroscience and Neural Networks for Engineering the Future Intelligent Electric Power Grid”, EFRI # 1238097 and the project duration is November 1, 2009 to October 31, 2013.
It is a joint project between the Clemson University (lead institution), Georgia Tech and Missouri S&T.
The overarching goal of this multi-disciplinary project is to infuse more neurobiology into control systems, to make them more brain-like and be able to carry out real-time control of complex systems. This project has two research thrusts:
On the neurobiology side, a novel in vitro neural system is used to explore new learning mechanisms that may underlie the massively parallel real-time control capabilities of the brain.
The neuro-engineering activity takes advantage of advances in the neurobiology thrust to develop technologies for real-time control and decision making, aimed at revolutionizing nonlinear adaptive optimal control of large complex critical infrastructures such as, but not limited to, the electric power grid.
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Ganesh Kumar Venayagamoorthy, PhD, FIET, FSAIEE
Principal Investigator & Duke Energy Distinguished Professor, Clemson University