This National Science Foundation (NSF) project grant, awarded under the NSF Engineering (CFDA 47.041) program, provides $297,881 to support research advancing the theory and algorithms for distribution control. The project focuses on three key challenges: addressing nonlinearity in agent dynamics, accounting for interactions among agents, and ensuring robustness of control policies. The research aims to enable precise control of large populations of autonomous agents, such as robotic or...
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 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 National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $431,033 Project Grant to the University of Iowa on Sep 1, 2023 to conduct research on novel computational methods for design optimization under uncertainty with arbitrary dependent probability distributions. The research aims to develop efficient computational algorithms and practical tools for robust and reliability-based design optimization of high-dimensional complex engineering systems subject to...
This $300,000 National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award to President and Fellows of Harvard College aims to develop efficient and reliable control algorithms for stochastic nonlinear dynamical systems. The research will introduce a novel "Spectral Dynamic Embedding" approach to reformulate nonlinear system dynamics in a way that enables tractable optimization and rigorous analysis of optimal control policies. Potential applications include...
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 $517,612 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to develop new foundations for scalable and resilient distributed reinforcement learning in open multi-agent systems. The overarching goal is to design new learning and control methods that enable autonomous agents to interact effectively, adapt to time-varying environments, and be resilient to failures and adversaries. The central approach is to leverage...
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 (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...
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...