Energy, Power, Control, and Networks — U.S. National Science Foundation funding opportunity
U.S. National Science Foundation · Federal agency

Energy, Power, Control, and Networks

The (EPCN) Program supports innovative research in 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-s...

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Deadline Fixed Location Alabama Type grant Level Federal Open posted May 19, 2023
✦ AI Summary
  • Who can apply: Federal-level applicants (see eligibility for details).
  • Issued by: U.S. National Science Foundation.
  • About: The (EPCN) Program supports innovative research in 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…
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Deadline
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About this opportunity

The (EPCN) Program supports innovative research in 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 biomedical devices & systems. EPCN also emphasizes electric power systems, including 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 Systems Dynamic Data-Enabled Learning, Decision and Control Cyber-Physical Control Systems Applications (Biomedical, Transportation, Robotics) Energy and Power Systems 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

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  • District of Columbia

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Citation details

Source systemgrants.gov
Source ID348258
PostedMay 19, 2023

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