This $994,988 National Science Foundation project grant through the Engineering program (CFDA 47.041) will fund research at the University of New Mexico from May 1, 2023 through April 30, 2028. The research aims to develop an algorithmic framework for integrating knowledge of human perception and reasoning about uncertainty into the design and control of autonomous dynamical systems. New mathematical theory and computational algorithms will be created based on control theory, machine learning,...
The National Science Foundation (NSF) awarded a $310,929 Project Grant under the Engineering program (CFDA 47.041) to the University of New Mexico (UNM) to develop novel computational tools and knowledge for safe autonomy of complex systems directly from data. The research aims to provide rigorous, data-driven guarantees on safety and performance, with a focus on automating ultrasound procedures to improve access to medical care. Key deliverables include techniques for synthesizing provably...
The University of Nebraska was awarded a three-year, $311,533 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering federal grant program (CFDA 47.041). The grant will support research examining phase space geometry of critical transitions in collective behavior modeled by mean field type control problems. Specifically, the University will conduct engineering research exploring the dynamics of collective behavior...
The University of Minnesota was awarded a three-year, $335,337 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to develop mechanics-based algorithms for sampling, control, and learning in non-convex domains. The grant will support research from September 2021 through August 2024 to improve techniques for modeling and optimizing complex systems with non-smooth or discontinuous behaviors. As the NSF's Engineering directorate seeks to advance innovation and...
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...
The University of New Mexico (UNM) received a $250,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering (47.041) federal grant program. The award will support research from June 1, 2023 through May 31, 2028 to develop a universal low-frequency microsystem vibration energy harvester to power wireless sensor networks. The research aims to address current challenges limiting micro-scale vibration energy...
The University of New Mexico received a $423,431 Project Grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems on August 1, 2021 to study how wildfire disturbances propagate in fluvial networks. The grant is part of NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research and education to improve quality of life and economic strength. Under this three-year award expiring July...
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 $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 (NSF) Engineering Directorate awarded Brigham Young University a $397,875 Project Grant under the Engineering program (CFDA 47.041). The three-year grant, from June 1, 2023 to May 31, 2026, supports the development of new techniques for modeling cyber-physical systems to address challenges with scale and complexity in modern engineering. The project aims to transform human interaction with critical infrastructure such as interconnected energy networks through a...