Control Bootcamp: Modern & Optimal Control Overview

Overview lecture for bootcamp on optimal and modern control. In this lecture, we discuss the various types of control and the benefits of closed-loop feedback control.

These lectures follow Chapter 8 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

Book Website: http://databookuw.com
Brunton Website: eigensteve.com

Chapters available at: http://databookuw.com/databook.pdf

These lectures also follow Chapters 1 & 3 from:

Machine learning control, by Duriez, Brunton, & Noack
https://www.amazon.com/Machine-Learning-Control-Turbulence-Applications-ebook/dp/B01MDUPONF/

Chapters available at: http://faculty.washington.edu/sbrunton/mlcbook/

This video was produced at the University of Washington