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 $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 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...
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 $297,881 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports collaborative research to advance the theory and algorithms for distribution control. The research aims to enable precision manufacturing of materials with desired properties and coordination/control of large autonomous agent swarms, promoting national prosperity and welfare. The project will address key challenges in nonlinear agent dynamics, inter-agent...
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 $166,110 project grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences supports theoretical and computational research on the design, analysis, and implementation of control systems for complex stochastic dynamical systems. The 3-year project, which commenced on June 1, 2024, is a collaborative effort between US-based and UK-based investigators from the University of Connecticut. The key objectives of the work include: (1) developing feedback control...
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...
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...