This video discusses the important problem of how to select the fewest and most informative sensors to estimate a high-dimensional data set. I will discuss the algorithm and give several examples from control theory, to insect flight, to manufacturing.
Book Website: databookuw.com
Book PDF: databookuw.com/...
These lectures follow Chapter 3 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
Amazon: www.amazon.com...
Brunton Website: eigensteve.com
This video was produced at the University of Washington
Негізгі бет Sparse Sensor Placement Optimization for Reconstruction
Пікірлер: 42