Energy, Power, Control, and Networks (EPCN)

This grant supports innovative research on modeling, optimization, learning, adaptation, and control of networked multi-agent systems, dynamic resource allocation, and risk management under uncertainty. It funds work on novel machine-learning algorithms, adaptive programming, brain-like networked architectures, and neuromorphic engineering, with applications in energy, transportation, robotics, biomedical devices, and electric power systems.