Project Grant 2531804
- This $250,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to address challenges in stochastic nonlinear control and learning for dynamical systems through a novel "Spectral Dynamic Embedding" approach. Led by the Georgia Tech Research Corporation, the research intends to develop computationally efficient control algorithms suitable for applications in robotics, aerospace, manufacturing, and beyond. The key innovations involve...
- This $300,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports collaborative research on the foundations of "super-linearization" of nonlinear dynamical systems. The research aims to leverage linear system theory to address challenges in analyzing and controlling complex nonlinear dynamics, with applications spanning diverse fields such as fluid dynamics, epidemiology, robotics, and power grids. The project, led by The Washington...
- This $300,000 National Science Foundation project grant supports research into distributed optimization-based control of large-scale nonlinear systems with uncertainties from 2022-2025. Funded under the NSF Engineering program (CFDA 47.041), the award to the University of California, San Diego will advance mathematical foundations for distributed optimization algorithms robust to uncertainties. Researchers will design tracking controllers for local systems to follow optimization-derived...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to enable precision manufacturing of materials with desired properties and the coordination and control of large collections of autonomous agents such as robotic or biological swarms. The $313,839 award, which runs from August 1, 2025 to July 31, 2028, aims to address critical gaps in existing control solutions by designing theory and computational algorithms with...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $550,000 to Carnegie Mellon University (CMU) to advance research on sampling-based optimal control methods for real-time decision-making in complex robotic and autonomous systems. The project aims to develop new mathematical frameworks to better understand, analyze, and improve these flexible and scalable control methods, which can handle highly nonlinear and discontinuous...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to advance the theory and algorithms for distribution control, enabling precision manufacturing of materials and coordination of autonomous agent populations. The $297,881 award to Georgia Tech Research Corporation, effective August 1, 2025 through July 31, 2028, will address critical challenges involving nonlinearity in agent dynamics, inter-agent interactions, and...
- This three-year $300,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering (47.041) federal grant program, funds research at New York University to advance the mathematical foundations and develop new tools for real-time distributed optimization-based control of large-scale nonlinear uncertain systems. Specifically, the award supports three research tasks: 1) synthesizing distributed optimization algorithms robust...
- This $296,503 National Science Foundation award through the Computer and Information Science and Engineering program (CFDA #47.070) supports research at Clemson University to develop stochastic hybrid systems modeling and control concepts for coordinating mixed fleets of automated and manually-driven vehicles. The award period is from October 1, 2022 through December 31, 2023. Specifically, the University will capture uncertainties from human inputs, sensors and communications within mixed...
- This $315,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new methods to robustly analyze and control large-scale networked systems with uncertain and variable delays. Specifically, the project will combine integral quadratic constraint and partial integral equation frameworks to enable accurate modeling and control of nonlinear systems with known and uncertain delay components. This work has direct applications...
- This National Science Foundation (NSF) Project Grant award, under the Engineering program (CFDA 47.041), provides $330,130 to North Carolina State University (NC State) from January 1, 2025 to December 31, 2027 to develop new data-driven methodologies for modeling, analyzing, and controlling nonlinear chemical processes. The project aims to create innovative state-space models and machine learning-based techniques to: 1) reconstruct hidden process states from input/output data, 2) analyze...
This federal Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) provides $444,199 to Clemson University from September 1, 2025 to August 31, 2028 to develop a scalable framework for optimal control of nonlinear systems under uncertainty, using spectral theory of linear operators. The research project aims to enable recasting nonlinear optimal control problems as linear ones in a transformed Koopman eigenfunction coordinate space, mitigating the "curse of dimensionality" challenge in areas such as autonomous robotics and smart energy systems. The project will provide research opportunities for students across multiple disciplines and promote STEM outreach for K-12 students, aligning with national priorities in autonomy, workforce development, and control technology innovation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $444.2k | 8/18/25 |