Opportunity Information: Apply for PD 15 7569

  • The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Dynamics, Control and Systems Diagnostics" 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 Apr 6, 2015 and posted on Mar 13, 2015.
  • Applicants must submit their applications by Sep 15, 2015. (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 15 7569

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Opportunity Summary:

The National Science Foundation (NSF) Dynamics, Control and Systems Diagnostics (DCSD) program is a discretionary grant opportunity (Funding Opportunity Number PD 15 7569) that supports fundamental research in how dynamic systems behave, how they can be influenced to behave in desired ways, and how information about them can be inferred from observations. In practical terms, the program is focused on the core science and engineering of systems that evolve over time, including new theory, modeling approaches, computational methods, and experimental techniques, along with novel applications to both engineered systems (like machines, structures, vehicles, robots, manufacturing processes, and infrastructure) and natural systems where dynamic behavior is central.

DCSD is organized around three closely related pillars. First, dynamics covers the analysis and understanding of time-varying behavior, including nonlinear phenomena, stability, oscillations, bifurcations, coupled systems, and multiscale effects. Second, control focuses on designing external inputs, feedback laws, and decision strategies that drive a system toward desired performance, robustness, safety, or efficiency, even under uncertainty and disturbances. Third, systems diagnostics centers on monitoring and inference: using data and observations to estimate system state, detect anomalies or faults, assess health, and identify underlying parameters or changes in behavior. Across all three areas, the program places strong emphasis on foundational advances rather than incremental improvements, and it welcomes work that develops new analytical frameworks, new computational algorithms, and new experimental platforms that enable deeper understanding or better control and diagnosis.

The program’s stated objective is the discovery of new phenomena and the investigation of innovative methods and applications in dynamics, control, and diagnostics. Proposals are evaluated for intellectual merit with particular attention to whether they introduce fundamental innovation in foundational areas of dynamics and control, and whether they have the potential for transformative impact that can carry across disciplinary boundaries. In other words, DCSD is looking for research that changes how people think about or work with dynamic systems, not just research that applies standard techniques to a new case study.

A key fit requirement is that proposals should align with the disciplinary thrusts of NSF’s CMMI Division (Civil, Mechanical and Manufacturing Innovation). Projects whose primary emphasis is electromagnetic phenomena or chemical phenomena are explicitly identified as better aligned with other NSF divisions, such as ECCS (Electrical, Communications and Cyber Systems) or CBET (Chemical, Bioengineering, Environmental, and Transport Systems). To reduce the risk of submitting to the wrong program, principal investigators are very strongly encouraged to email the DCSD Program Directors a brief project summary of about 250 words before submitting a full proposal, specifically to confirm programmatic fit.

There is also an important boundary around sensing research. DCSD does not fund fundamental research on sensing modalities or sensor development itself. If the core novelty is in the sensor technology, sensing physics, or new sensing modalities, NSF directs applicants instead to appropriate ECCS programs such as Communications, Circuits and Sensing Systems (CCSS) or Electronics, Photonics, and Magnetic Devices (EPMD). DCSD, by contrast, is more appropriate when the sensing hardware is not the fundamental contribution and the main innovations are in dynamics, control, estimation, monitoring, diagnostic inference, or system-level analysis using measurements.

From the administrative details provided, this opportunity is a grant mechanism under the NSF Engineering Grants CFDA 47.041 category, with no cost sharing or matching requirement. Eligibility is listed as unrestricted (open to any type of entity), subject to any clarifications in the full announcement text. The opportunity was posted March 13, 2015, with a closing date of September 15, 2015, and it was archived October 15, 2020. For access issues, the listing references NSF grants.gov support at grantsgovsupport@nsf.gov.

NSF DCSD (Dynamics, Control and Systems Diagnostics) Program FAQ

What is the NSF Dynamics, Control and Systems Diagnostics (DCSD) program?

The NSF Dynamics, Control and Systems Diagnostics (DCSD) program is a discretionary grant opportunity (Funding Opportunity Number PD 15 7569) that supports fundamental research on dynamic systems: how they behave over time, how they can be influenced to achieve desired behavior, and how information about them can be inferred from observations and data.

What types of research does DCSD support?

DCSD supports foundational advances in the core science and engineering of time-evolving systems. This can include new theory, modeling approaches, computational methods, and experimental techniques, as well as novel applications where dynamic behavior is central.

What are the main topic areas (pillars) in DCSD?

The program is organized around three closely related pillars:

  • Dynamics: analysis and understanding of time-varying behavior, including nonlinear phenomena, stability, oscillations, bifurcations, coupled systems, and multiscale effects.
  • Control: design of external inputs, feedback laws, and decision strategies to achieve desired performance, robustness, safety, or efficiency, including under uncertainty and disturbances.
  • Systems diagnostics: monitoring and inference using observations and data to estimate system state, detect anomalies or faults, assess health, and identify parameters or behavioral changes.

Does DCSD prioritize foundational work or applied demonstrations?

DCSD places strong emphasis on foundational advances rather than incremental improvements. The program is looking for research that introduces fundamental innovation (new analytical frameworks, algorithms, or experimental platforms) and has the potential for transformative impact beyond a single application.

What is the stated objective of the DCSD program?

The objective is the discovery of new phenomena and the investigation of innovative methods and applications in dynamics, control, and diagnostics.

How are proposals evaluated in this program (based on the information provided)?

Proposals are evaluated for intellectual merit with particular attention to whether they introduce fundamental innovation in foundational areas of dynamics and control, and whether they have potential for transformative impact that can carry across disciplinary boundaries.

What kinds of systems and application areas are relevant to DCSD?

The program welcomes novel applications to both engineered systems and natural systems where dynamic behavior is central. Examples of engineered systems mentioned include machines, structures, vehicles, robots, manufacturing processes, and infrastructure.

Is this program part of a particular NSF division?

Yes. A key fit requirement is alignment with the disciplinary thrusts of NSF's CMMI Division (Civil, Mechanical and Manufacturing Innovation).

Are there topics that are considered a better fit for other NSF divisions?

Yes. Projects whose primary emphasis is electromagnetic phenomena or chemical phenomena are explicitly identified as better aligned with other NSF divisions, such as ECCS (Electrical, Communications and Cyber Systems) or CBET (Chemical, Bioengineering, Environmental, and Transport Systems).

Does DCSD fund sensor development or new sensing modalities?

No. DCSD does not fund fundamental research on sensing modalities or sensor development itself. If the core novelty is in sensor technology, sensing physics, or new sensing modalities, applicants are directed to appropriate ECCS programs such as Communications, Circuits and Sensing Systems (CCSS) or Electronics, Photonics, and Magnetic Devices (EPMD).

When is sensing related work appropriate for DCSD?

Sensing-related work can be appropriate when the sensing hardware is not the fundamental contribution and the main innovations are in dynamics, control, estimation, monitoring, diagnostic inference, or system-level analysis using measurements.

How can applicants reduce the risk of submitting to the wrong NSF program?

Principal investigators are very strongly encouraged to email the DCSD Program Directors a brief project summary (about 250 words) before submitting a full proposal, specifically to confirm programmatic fit.

What is the Funding Opportunity Number for this listing?

The Funding Opportunity Number is PD 15 7569.

Is cost sharing or matching required?

No. The administrative details provided state there is no cost sharing or matching requirement.

What is the CFDA category associated with this opportunity?

This opportunity is listed under the NSF Engineering Grants CFDA 47.041 category.

Who is eligible to apply (based on the information provided)?

Eligibility is listed as unrestricted (open to any type of entity), subject to any clarifications in the full announcement text.

When was this opportunity posted, and what were the key dates?

The opportunity was posted on March 13, 2015. The closing date was September 15, 2015. The listing was archived on October 15, 2020.

What does it mean that the opportunity is archived?

Based on the information provided, the listing was archived on October 15, 2020, indicating it is not an active current posting in that listing format. The details provided reflect that historical posting and its dates.

Who should be contacted for help with access issues related to the listing?

For access issues, the listing references NSF grants.gov support at grantsgovsupport@nsf.gov.

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