Opportunity Information: Apply for PD 12 1632

  • The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Control Systems" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041 Engineering Grants.
  • This funding opportunity was created on Jun 23, 2014 and posted on Oct 3, 2012.
  • Applicants must submit their applications by Opportunity PD 12 1632 has been archived.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
Apply for PD 12 1632

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Opportunity Summary:

The National Science Foundation (NSF) Control Systems (CS) program is a discretionary research grant opportunity focused on fundamental advances in control theory and control technology that are motivated by real-world needs. Rather than funding incremental improvements, the program is aimed at paradigm-shifting control ideas, especially approaches inspired by nature, unconventional or emerging application areas, and new ways of thinking about how feedback, feedforward, and uncertainty interact in complex systems. The central theme is basic research with clear grounding in practical system realities, meaning proposals are expected to connect their mathematical models, assumptions, and constraints to what actually happens in engineered or naturally occurring systems, and to reflect requirements that come from real applications and/or industry needs.

In terms of what the program supports, it emphasizes research that improves the core scientific understanding behind analyzing and designing control strategies. This includes developing new theory, new analysis methods, and new synthesis and design tools for controlling systems under uncertainty, limitations, and competing objectives. The program description also highlights the combined role of feedback (reacting to measured behavior), feedforward (anticipating behavior using models or known disturbances), and uncertainty (imperfect models, noise, disturbances, and incomplete information). A strong fit typically involves a fresh formulation of a control problem that exposes overlooked structure, relaxes unrealistic assumptions, or introduces new constraints that mirror real deployment conditions, such as limited sensors, actuator saturation, communication delays, safety and reliability requirements, or resource constraints like energy and computation.

A notable part of the scope is the integration of novel sensing and actuation concepts with control. The program is interested in ideas where sensing, communication, and signal processing are not treated as separate add-ons, but are designed jointly with feedback control to achieve a sensing or actuation objective. In practice, this can cover topics like networked or distributed control where communication limits matter, control under intermittent or delayed measurements, co-design of sensing strategies and controllers, or systems where the actuation mechanism itself is nontraditional and tightly coupled to perception and estimation.

Administratively, this opportunity is identified as Funding Opportunity Number PD 12 1632, titled "Control Systems," under CFDA 47.041 (Engineering Grants). It used the grant funding instrument and fell within the NSF research and development activity category. The eligibility listing indicates it was broadly open (unrestricted) subject to any additional eligibility clarifications in the full announcement. The opportunity had no cost sharing or matching requirement. The original posting date was October 3, 2012, with full proposal submission windows noted as January 15, 2013 to February 15, 2013, and September 1, 2013 to October 1, 2013. The record shows the opportunity is now archived (archive date June 23, 2014). The extracted record lists expected awards and estimated total funding as 0, which typically reflects how the archived listing was captured rather than a guarantee about actual program funding outcomes in that period.

For access or technical issues related to the announcement, the contact guidance points to NSF grants.gov support at grantsgovsupport@nsf.gov, and also notes contacting NSF for linking problems (the text provided cuts off before listing an additional specific contact).

Frequently Asked Questions (FAQs) - NSF Control Systems (CS) Program

1) What is the NSF Control Systems (CS) program?

The National Science Foundation (NSF) Control Systems (CS) program is a discretionary research grant opportunity that supports fundamental advances in control theory and control technology. The program emphasizes basic research that is motivated by real-world needs, with proposals expected to stay grounded in practical system realities rather than purely abstract modeling.

2) What kinds of research does this program prioritize?

The program prioritizes paradigm-shifting control ideas rather than incremental improvements. It is especially interested in approaches inspired by nature, unconventional or emerging application areas, and new ways of thinking about how feedback, feedforward, and uncertainty interact in complex systems.

3) Is the focus on basic research or applied development?

The central theme is basic research, but with clear grounding in real systems. Proposals are expected to connect mathematical models, assumptions, and constraints to what actually happens in engineered or naturally occurring systems, and to reflect requirements that come from real applications and/or industry needs.

4) What is meant by "paradigm-shifting" in this context?

Within the scope described, "paradigm-shifting" refers to new control concepts or formulations that change how a control problem is understood or solved. Examples include exposing overlooked structure, relaxing unrealistic assumptions, or introducing new constraints that better reflect real deployment conditions.

5) What control topics are explicitly emphasized?

The program emphasizes improving core scientific understanding behind analyzing and designing control strategies. It highlights development of new theory, new analysis methods, and new synthesis and design tools for controlling systems under uncertainty, limitations, and competing objectives.

6) How does the program view feedback, feedforward, and uncertainty?

The description highlights the combined role of feedback (reacting to measured behavior), feedforward (anticipating behavior using models or known disturbances), and uncertainty (imperfect models, noise, disturbances, and incomplete information). A strong proposal fit typically treats these elements as interacting parts of one control design and analysis problem.

7) What makes a proposal "grounded in practical system realities"?

Based on the description, proposals are expected to align their modeling choices with real system constraints and operating conditions. This includes making assumptions and constraints that mirror what occurs in real deployments, and reflecting requirements driven by applications and/or industry needs.

8) What kinds of real-world constraints does the program expect proposals to consider?

The opportunity description gives examples of realistic deployment constraints such as limited sensors, actuator saturation, communication delays, safety and reliability requirements, and resource constraints like energy and computation.

9) Does the program support work on control under uncertainty?

Yes. Controlling systems under uncertainty is a highlighted topic, including uncertainty stemming from imperfect models, noise, disturbances, and incomplete information.

10) Is joint sensing/actuation/control design within scope?

Yes. A notable part of the scope is integrating novel sensing and actuation concepts with control. The program is interested in ideas where sensing, communication, and signal processing are designed jointly with feedback control, rather than treated as separate add-ons.

11) What are examples of sensing and communication topics mentioned as relevant?

The description notes examples such as networked or distributed control where communication limits matter, control under intermittent or delayed measurements, co-design of sensing strategies and controllers, and systems where actuation mechanisms are nontraditional and tightly coupled to perception and estimation.

12) Does the program only fund traditional control applications?

No. The program description explicitly calls out interest in unconventional or emerging application areas, as well as approaches inspired by nature.

13) What is the Funding Opportunity Number and title?

The opportunity is identified as Funding Opportunity Number PD 12 1632, titled "Control Systems."

14) What CFDA listing is associated with this opportunity?

The description lists CFDA 47.041, identified as Engineering Grants.

15) What funding instrument is used?

The opportunity used the grant funding instrument.

16) What type of NSF activity category does this fall under?

It falls within the NSF research and development activity category.

17) Who is eligible to apply?

The eligibility listing indicates it was broadly open (unrestricted), subject to any additional eligibility clarifications in the full announcement.

18) Is cost sharing or matching required?

No. The opportunity states there was no cost sharing or matching requirement.

19) When was the opportunity originally posted?

The original posting date was October 3, 2012.

20) What were the proposal submission windows?

The full proposal submission windows listed were January 15, 2013 to February 15, 2013, and September 1, 2013 to October 1, 2013.

21) Is this opportunity still open?

No. The record shows the opportunity is archived, with an archive date of June 23, 2014.

22) The listing shows expected awards and estimated total funding as 0. What does that mean?

The extracted record lists expected awards and estimated total funding as 0, and the description notes this typically reflects how the archived listing was captured rather than a guarantee about actual program funding outcomes in that period.

23) Where should applicants go for access or technical issues related to the announcement?

The contact guidance points to NSF grants.gov support at grantsgovsupport@nsf.gov for access or technical issues related to the announcement.

24) What if there are issues linking to NSF materials?

The provided text notes contacting NSF for linking problems, but the excerpt cuts off before listing an additional specific contact beyond the grants.gov support email.

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