State-Space Equations: Introduction & Basics
Learn the fundamentals of state-space equations in control systems. Part 1 of the series. Watch the playlist for more! 📘

MATLAB
583.0K views • Jan 14, 2019

About this video
Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w
Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY
Part 3 - Observability and Controllability: https://youtu.be/BYvTEfNAi38
Part 4 - What Is LQR Optimal Control: https://youtu.be/E_RDCFOlJx4
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.
Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY
Part 3 - Observability and Controllability: https://youtu.be/BYvTEfNAi38
Part 4 - What Is LQR Optimal Control: https://youtu.be/E_RDCFOlJx4
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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Views
583.0K
Likes
9.6K
Duration
14:12
Published
Jan 14, 2019
User Reviews
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