Project Grant 2112793
Award Date 9/1/21
Completion Date 8/31/24
Dollars Obligated $379K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30332, USA
Similar Awards
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded Georgia TECH Research Corp a collaborative research project grant totaling $297,881 on August 1, 2025, with a completion date of July 31, 2028, under the Engineering program (CFDA 47.041). The research delivers advanced theory and computational algorithms for controlling distributions in large-scale dynamical systems, addressing critical gaps in precision...
- 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...
- The National Science Foundation awarded a $573,561 project grant to the Georgia Tech Research Corporation from October 1, 2021 to September 30, 2024 under the Engineering program (CFDA 47.041). The grant supports collaborative research on participatory sensemaking with embodied co-creative agents. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research and education. This particular award will further those...
- The National Science Foundation awarded a $400,000 Project Grant to the University of Washington under the Engineering program (CFDA 47.041) to develop data-guided system-theoretic techniques for control of dynamic systems from August 15, 2022 to July 31, 2025. Specifically, the award will support research to extend the current data-guided control paradigm to nonlinear systems and networked systems through novel data-parameterized analysis and synthesis methods. The research will also examine...
- The National Science Foundation Division of Engineering Education and Centers awarded a $354,641 project grant to the Georgia TECH Research Corporation for its EAGER: EXPLORATION OF DATA-DRIVEN METHODS FOR CYBER MANUFACTURING project. The award period runs from March 1, 2021 through February 28, 2023. Under the NSF's Engineering (CFDA 47.041) program, which seeks to improve quality of life and economic strength through engineering research and education, the grantee will explore data-driven...
- Federal Grant Award Summary Georgia Tech Research Corporation received a $691,375 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025 through August 31, 2028. This award supports fundamental research and development of defensive countermeasures against affine transformation-based false data injection attacks targeting networked robotic systems. The primary...
- The National Science Foundation awarded a $500,000 Project Grant to the Georgia Tech Research Corporation from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research on developing error resilient signal processing and control techniques using real-number function encoding, with a focus on applications to nonlinear systems ranging from adaptive filters to deep neural networks. The award supports...
- The National Science Foundation awarded a $477,423 Project Grant to the University of California, San Diego under the Engineering program (CFDA 47.041) to support research titled "CAREER: NONSMOOTH CONTROL SYSTEMS FOR SOCIETAL NETWORKS WITH DATA-ASSISTED FEEDBACK LOOPS: THEORY AND ALGORITHMS." The research aims to advance the analysis and synthesis of hybrid and non-smooth data-assisted controllers for multi-agent systems deployed over cyber-physical infrastructure. Specific objectives...
- This $199,867 National Science Foundation project grant supports research at the University of Michigan to develop formal methodologies for synthesizing cyber-secure and resilient control logic for networked discrete-event systems subject to cyber attacks. Funded under the NSF Engineering program (CFDA 47.041), the three-year project commencing September 2022 aims to enhance the reliability of advanced control systems through model-based approaches. Researchers will extend diagnosability...
- This $318,590 Project Grant awarded by the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports research and development at the Georgia Tech Research Corporation aimed at advancing computational models and algorithms for distributed constrained optimization in complex multi-agent networks. The key objectives are to: (i) develop an enhanced mathematical modeling framework utilizing variational inequality theory; (ii) design and analyze new iteratively regularized...