Summary
The Energy, Power, Control, andNetworks (EPCN) Program supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation, as well as risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. EPCN also invests in novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN’s goal is to encourage research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems. EPCN also emphasizes electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory & economic structures and with consumer behavior. Areas managed by Program Directors (please contact Program Directors listed in the EPCN staff directory for areas of interest): Control Systems • Distributed Control and Optimization • Networked Multi-Agent Systems • Stochastic, Hybrid, Nonlinear Systems • Dynamic Data-Enabled Learning, Decision and Control • Cyber-Physical Control Systems • Applications (Biomedical, Transportation, Robotics) Energy and Power Systems • Solar, Wind, and Storage Devices Integration with the Grid • Monitoring, Protection and Resilient Operation of Grid • Power Grid Cybersecurity • Market design, Consumer Behavior, Regulatory Policy • Microgrids • Energy Efficient Buildings and Communities Power Electronics Systems • Advanced Power Electronics and Electric Machines • Electric and Hybrid Electric Vehicles • Energy Harvesting, Storage Devices and Systems • Innovative Grid-tied Power Electronic Converters Learning and Adaptive Systems • Neural Networks • Neuromorphic Engineering Systems • Data analytics and Intelligent Systems • Machine Learning Algorithms, Analysis and Applications
Eligibility
- Unrestricted
Funding categories
- Science Technology and Other Research and Development
Official source and attribution
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