Project Grant 2210315
Award Date
9/1/22
Completion Date
8/31/25
Dollars Obligated
$300K
Federal Agency
Division of Electrical, Communications and Cyber Systems
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
La Jolla, CA 92093, USA
Similar Awards
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 $458,373 five-year CAREER grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of California, San Diego (UCSD) to advance the interplay between convex and nonconvex optimization for modern control systems. The project aims to develop innovative frameworks, theoretical guarantees, and scalable algorithms that bridge convex and nonconvex optimization to enable reliable and efficient control of complex systems like...
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 $280,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will support the development of new theory and methods to address network-level uncertainty in the control of large-scale networked systems. The research will integrate random graph theory, particularly graphon theory, with structural system theory to model and understand uncertainty in the communication topology of multi-agent control systems. The key goals are to (1) formulate new...
The University of California, San Diego will receive $603,100 from the National Science Foundation under the Engineering (47.041) federal grant program to develop model-free fixed-time equilibrium-seeking controllers for decision-making tasks in connected autonomous systems. The three-year project aims to advance the design and analysis of optimization algorithms that can solve decision problems in real-time using only current information, without relying on system models. The university will...
The University of California, San Diego received a $274,698 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant funds the research project "COLLABORATIVE RESEARCH: THE VALUE OF INFORMATION IN NETWORKED CONTROL: A UTILITY BASED APPROACH" from September 1, 2021 through August 31, 2024. The project aims to improve understanding of the value of information in networked control systems using a utility-based approach....
This three-year, $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support collaborative research between Columbia University and the University of Pennsylvania on scalable and communication-efficient learning-based distributed control. The researchers will develop a foundational and integrated theory of distributed learning-enabled control and approximated distributed...
This three-year $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support research to advance the practical application of distributed learning-enabled control systems. The University of Pennsylvania and Columbia University will collaborate on developing foundational theory and integrated approaches for scalable and communication-efficient distributed control. This includes...
The National Science Foundation awarded a $359,147 Project Grant to the University of California, San Diego under the Engineering federal grant program (CFDA 47.041) for the period of January 1, 2022 through December 31, 2024. The grant funds collaborative research on nonlinear balancing involving reduced models and control. Specifically, the University of California, San Diego will work to develop simplified mathematical models and control strategies to optimize complex nonlinear systems,...
This $297,881 project grant awarded by the National Science Foundation's 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 agents. The key objectives are to address challenges in nonlinearity, agent interactions, and control policy robustness, with the goal of delivering scalable computational methods for distribution control with optimality and robustness...