Sparse Sensor Placement Optimization for Reconstruction

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: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow Chapter 3 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/ Brunton Website: eigensteve.com This video was produced at the University of Washington