CAREER: Towards a data-driven systems and control theory — NSF Award to University of Wisconsin-Madison (WI, $570,000)
This NSF CAREER project aims to create new ways to control complex systems using data. Modern technologies such as autonomous vehicles, intelligent robots, advanced energy systems, and smart infrastructure must make decisions in real time while operating in uncertain and rapidly changing environments. Traditional contr
| Award title | CAREER: Towards a data-driven systems and control theory |
|---|---|
| Award ID | 2542634 |
| Awardee | University of Wisconsin-Madison |
| City | MADISON |
| State | WI |
| Amount obligated | $570,000 |
| Principal investigator | Jeremy Coulson |
| Program | EPCL: Energy, Power, Control, |
| Start date | 04/01/2026 |
| Abstract | This NSF CAREER project aims to create new ways to control complex systems using data. Modern technologies such as autonomous vehicles, intelligent robots, advanced energy systems, and smart infrastructure must make decisions in real time while operating in uncertain and rapidly changing environments. Traditional control methods rely on detailed mathematical models of how a system behaves, but building such models is often difficult, expensive, or even impossible for today’s highly complex syste |
| Source | NSF Awards |
$799/mo
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