A Conceptual Approach to Controllability and Observability | State Space, Part 3

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 4 - What Is LQR Optimal Control: /watch/4xJlOFCDR_EDl This video helps you gain understanding of the concept of controllability and observability. Two important questions that come up in control systems engineering are: Is your system controllable? And is it observable? Assuming you have a good linear model of your system, you can answer both questions using some simple matrix operations and the A, B, and C matrices of your state-space model. In this video, we’re going to approach the answers from a conceptual and intuitive direction. References: - Create, analyze, and use state-space representation for control design with MATLAB and Simulink: http://bit.ly/2HrtZQy - Steve Brunton — Control Bootcamp: http://bit.ly/2HrWAFm -------------------------------------------------------------------------------------------------------- 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 © 2018 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.

الفئة