What Is Linear Quadratic Regulator (LQR) Optimal Control | State Space, Part 4

Check out the other videos in the series: /playlist/PLn8PRpmsu08podBgFw66-IavqU2SqPg_w Part 1 - The state space equations: /watch/0PW-GMrKephK- Part 2 - Pole placement: /watch/YmvL8yHpSXFpL Part 3 - Observability and Controllability: /watch/83iANfETvYBTA 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: /watch/IKS4a2tveEwv4 LQR by Steven Brunton: /watch/cc3fLIboU_1of Solving LQR problem: http://bit.ly/2t5gc8k Learn more about State Space Models: http://bit.ly/2HrtZQy ----------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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