Check out the other videos in the series: [ Ссылка ]
Part 1 - The state space equations: [ Ссылка ]
Part 2 - Pole placement: [ Ссылка ]
Part 3 - Observability and Controllability: [ Ссылка ]
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: [ Ссылка ]
Integral action: [ Ссылка ]
LQR by Christopher Lum: [ Ссылка ]
LQR by Steven Brunton: [ Ссылка ]
Solving LQR problem: [ Ссылка ]
Learn more about State Space Models: [ Ссылка ]
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Get a free product Trial: [ Ссылка ]
Learn more about MATLAB: [ Ссылка ]
Learn more about Simulink: [ Ссылка ]
See What's new in MATLAB and Simulink: [ Ссылка ]
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