Introduction to State-Space Equations | State Space, Part 1

Check out the other videos in the series: /playlist/PLn8PRpmsu08podBgFw66-IavqU2SqPg_w Part 2 - Pole placement: /watch/YmvL8yHpSXFpL Part 3 - Observability and Controllability: /watch/83iANfETvYBTA Part 4 - What Is LQR Optimal Control: /watch/4xJlOFCDR_EDl Let’s introduce the state-space equations, the model representation of choice for modern control. This video is the first in a series on MIMO control and will provide some intuition around how to think about state variables and why this representation is so powerful. Having a solid foundational knowledge of state space and state variables will help you learn the control techniques built on state space models like Kalman filtering, LQR control, robust control, and model predictive control. - State-Space Models, Part 1: Creation and Analysis: http://bit.ly/2H0TOqj - State-Space Models, Part 2: Control Design: http://bit.ly/2H1Ymgc - Dr. Rick Hill’s explanation of choosing states based on energy: http://bit.ly/2GZyUrD 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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