Power, Controls and Adaptive Networks  (PCAN)

PROGRAM GUIDELINES

Apply to PD 10-1518 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: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)

Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA) (Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests funding to support postdoctoral researchers must include a description of the mentoring activities that will be provided for such individuals. Proposals that do not comply with this requirement will be returned without review (see the PAPP Guide Part I: Grant Proposal Guide Chapter II for further information about the implementation of this new requirement).

DUE DATES

Full Proposal Window:  January 7, 2010 - February 7, 2010

January 7 - February 7, Annually Thereafter

Full Proposal Window:  September 7, 2010 - October 7, 2010

September 7 - October 7, 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.

The ECCS Division discourages multiple proposals by the same PI and/or co-PI within the same submission window.

SYNOPSIS

The Power, Controls and Adaptive Networks (PCAN) program invests in the design and analysis of intelligent and adaptive engineering networks, including sensing, imaging, controls, and computational technologies for a variety of application domains. The program supports distributed control of multi-agent systems with embedded computation for sensor and adaptive networks. PCAN invests in adaptive dynamic programming, brain-like networked architectures performing real-time learning, neuromorphic engineering, telerobotics, and systems theory. PCAN places emphasis on electric power networks and grids, including generation, transmission and integration of renewable, sustainable and distributed energy systems, such as fuel cells and micro-turbines in large power networks; high power electronics and drives; and understanding of associated regulatory and economic structures. The program also places emphasis on energy scavenging and alternative energy technologies, including solar cells, ocean waves, wind, geothermal, low-head hydro, and the hydrogen economy. In addition, the program supports innovative test beds, and laboratory and curriculum development to integrate research and education. PCAN provides additional emphasis on emerging areas, such as quantum systems engineering, quantum and molecular modeling and simulation of devices and systems, alternate energy sources: generation and integration in the National Grid (InterGrid), and interdependencies of critical infrastructure in power and communications.

Areas of interest include:

• Adaptive Dynamic Programming
• Alternate Energy Sources
• Embedded, Distributed and Adaptive Control
• Neuromorphic Engineering
• Power and Energy Systems and Networks
• Sensing and Imaging Networks
• Telerobotics

PCAN will provide additional emphasis on emerging areas such as:

• Quantum Systems Engineering
• Quantum and Molecular Modeling and Simulation of Devices and Systems
• Interdependencies of Critical Infrastructure in Power and Communications
• Integration of Alternate Energy Sources in the National Grid (InterGrid)
• The Brain-Computer Interface

Proposals for the PCAN 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.

Abstracts of Recent Awards Made Through This Program

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