This $199,996 project grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop a principled approach to the systematic design of efficient iterative algorithms for a wide variety of data-driven applications. The project at Miami University will leverage tools from both optimization and control theory, including techniques like interpolation, Lyapunov stability, and robust control synthesis, to enable the deployment of specialized and efficient algorithms across large-scale, safety-critical, and embedded systems. The project seeks to automate the developed algorithmic design tools and make them publicly available through software dissemination. This award reflects NSF's mission to support fundamental research and technological innovation that can potentially transform various industries and societal sectors.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $200.0k | 5/29/24 |