Project Grant 2508439
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $510K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
University City, MO 63130, USA
Similar Awards
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $250,615 Project Grant to The Washington University, a private university in St. Louis, Missouri. The award supports a collaborative research effort to establish new tools and results for output control of continuum ensemble systems. The research program integrates ideas from multiple mathematical disciplines including control theory, graph theory, Lie theory, functional analysis, and dynamical systems. Key...
- 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...
- 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...
- 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) awarded a $313,839 Project Grant to Iowa State University (ISU) on August 1, 2025 under the Engineering program (CFDA 47.041). The grant supports collaborative research to advance the theory and algorithms for distribution control, addressing challenges related to nonlinearity in dynamics, interactions among agents, and robustness of control policies. The research aims to enable precision manufacturing of materials with desired properties and coordination of...
- This Project Grant award, funded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), supports collaborative research on nonlinear dynamical systems that can model a wide range of engineered and natural processes. The $300,000 award aims to leverage the theory of linear systems to address challenges in nonlinear dynamics through the concept of "super-linearization" - transforming nonlinear systems into higher-dimensional linear systems whose...
- The National Science Foundation awarded Columbia University a $500,000 Project Grant under the Engineering (47.041) federal grant program. The grant will fund research towards developing scale-invariant identification and synthesis algorithms for distributed control of networked systems using randomization techniques. Specifically, the university will conduct foundational research in three areas: 1) learning dynamical system models from partially observed data, 2) designing robust and optimal...
- This Project Grant award of $444,199 from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop a novel approach for optimal control of complex, high-dimensional autonomous systems. The research seeks to overcome the "curse of dimensionality" in optimal control problems by leveraging modal decomposition techniques from linear operator theory. This approach transforms difficult nonlinear problems into simpler linear ones, enabling more efficient computation...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by William Marsh Rice University to develop adaptive control and learning algorithms for solving complex operational problems in networked systems. The $140,000 award, active from September 1, 2025 to August 31, 2028, will contribute to advancing national prosperity and economic welfare by creating new algorithms that can learn from data and adapt in real-time, while accounting for...
- The National Science Foundation (NSF) Directorate for Engineering (CFDA Program 47.041) awarded a $344,126 Project Grant to the University of Wisconsin System for a 3-year research project focused on developing new mathematical methods and computational tools to enable the use of complex data formats, such as visual and thermal images, for advanced model predictive control (MPC) systems. The key objectives are to: Integrate concepts from control theory, topology, machine learning, and Bayesian...