This video explores the observability of a linear system, namely the ability to estimate the full state "x(t)" from a time-history of limited output measurements "y(t)".
These lectures follow Chapters 1 & 3 from:
Machine learning control, by Duriez, Brunton, & Noack
www.amazon.com/Machine-Learni...
Chapters available at: faculty.washington.edu/sbrunto...
This video was produced at the University of Washington
Негізгі бет Ғылым және технология Control Bootcamp: Observability
Пікірлер: 12