Energy, Power, Control and Networks
EPAS Program Update
The ECCS Energy, Power and Adaptive Systems (EPAS) Program is now the Energy, Power, Control and Networks (EPCN) Program. Proposal submissions to this program will still use the same program code of PD 13-7607. Proposals already submitted to EPAS will be automatically transferred to EPCN.
Apply to PD 13-7607 as follows:
For full proposals submitted via FastLane:
standard Grant Proposal Guidelines apply.
For full proposals submitted via Grants.gov:
NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply
(Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at:
Full Proposal Window: October 1, 2014
November 3, 2014
October 1 - November 1, Annually Thereafter
Supplement Deadline Date: April 1, 2015
April 1, Annually Thereafter
These submission windows do not apply to workshop proposals, proposals for EArly-concept Grants for Exploratory Research (EAGER), or Rapid Response Grants (RAPID).
The Division deadline for Research Experiences for Undergraduates (REU) and Research Experience for Teachers (RET) Supplements is April 1st. Please note: The ECCS Division has established an $8,000.00 REU limit per student. Please contact your Program Director for further details.
Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, 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 adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest include energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.
Proposals for the EPCN program may involve collaborative research to capture the breadth of expertise needed for such multidisciplinary integrative activities. ECCS will consider supporting a limited number of small team proposals of three or more Investigators from different disciplines and/or universities.
Areas covered by the EPCN Group (Abed, Baheti, and Werbos):
- Control Theory and Hybrid Dynamical Systems
- Networked Multi-agent Systems
- Cyber Physical Systems Modeling and Control
- System Theory for Biology and Medicine; Modeling of the Brain
- Control and Optimization in Buildings, Transportation, and Robotics
- Adaptive and Intelligent Systems; Neural Networks
- Energy Harvesting, Storage Devices and Systems
- Solar and Wind Energy and Integration of Renewables with Grid
- Monitoring, Protection and Cyber Security of Power Grid
- Advanced Power Electronics and Electric Machines
- Electric and Hybrid Vehicles; Integration with Grid
- Policy, Economics, Consumer Behavior and the Power Grid
- Quantum, Molecular and High Performance Modeling and Simulation for Devices and Systems (QMHP) (Paul Werbos)
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program