Collaborative Research: CPS: Medium: Robust to Early Termination Optimization for Safe and — NSF Award to Regents of the Universit
Cyber-physical systems (CPS), for example, autonomous vehicles and delivery drones, consist of computational units tightly integrated with their physical environments. They are often built using small, constrained platforms and multiple control tasks shape the common platform. Thus the computation that is available to
| Award title | Collaborative Research: CPS: Medium: Robust to Early Termination Optimization for Safe and |
|---|---|
| Award ID | 2502857 |
| Awardee | Regents of the University of Michigan - Ann Arbor |
| City | ANN ARBOR |
| State | MI |
| Amount obligated | $225,000 |
| Principal investigator | Ilya Kolmanovsky |
| Program | CPS-Cyber-Physical Systems |
| Start date | 08/01/2025 |
| Abstract | Cyber-physical systems (CPS), for example, autonomous vehicles and delivery drones, consist of computational units tightly integrated with their physical environments. They are often built using small, constrained platforms and multiple control tasks shape the common platform. Thus the computation that is available to each control task is limited and may vary over time, which threatens to compromise the quality of control. This project will address this challenge through co-design of control alg |
| Source | NSF Awards |
$799/mo
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