Linear Quadratic Regulator (LQR) Control Explained

Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w

Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0
Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY
Part 3 - Observability and Controllability: https://youtu.be/BYvTEfNAi38

The Linear Quadratic Regulator (LQR)
LQR is a type of optimal control that is based on state space representation. In this video, we introduce this topic at a very high level so that you walk away with a general understanding of the control problem and can build on this understanding when you are studying the math behind it. This video will cover what it means to be optimal and how to think about the LQR problem. At the end I’ll show you some examples in MATLAB that I think will help you gain a little intuition about LQR.

Check out these other resources!
Download the code for the UFO animation: http://bit.ly/2tbHFVJ
Integral action: http://bit.ly/2t4hwIr
LQR by Christopher Lum: https://youtu.be/wEevt2a4SKI
LQR by Steven Brunton: https://youtu.be/1_UobILf3cc
Solving LQR problem: http://bit.ly/2t5gc8k
Learn more about State Space Models: http://bit.ly/2HrtZQy

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