Optimization-Based Methods for State Estimation — NSF Award to Northeastern University (MA, $374,187)
State estimation, a foundational problem in modern science and engineering, is the process of determining the internal state of a system when only indirect, noisy, or incomplete measurements are available. Nearly every intelligent technology depends on this capability, including autonomous vehicles, robotics, medical i
| Award title | Optimization-Based Methods for State Estimation |
|---|---|
| Award ID | 2544427 |
| Awardee | Northeastern University |
| City | BOSTON |
| State | MA |
| Amount obligated | $374,187 |
| Principal investigator | Laurent Lessard |
| Program | Dynamics, Control and System D |
| Start date | 05/01/2026 |
| Abstract | State estimation, a foundational problem in modern science and engineering, is the process of determining the internal state of a system when only indirect, noisy, or incomplete measurements are available. Nearly every intelligent technology depends on this capability, including autonomous vehicles, robotics, medical imaging, advanced manufacturing, energy networks and financial analytics. In artificial intelligence and data-driven decision systems, state estimation underlies the ability of mach |
| Source | NSF Awards |
$799/mo
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