Controllability & Observability in State Space π
Explore the concepts of controllability and observability in state space systems. Part 3 of the series. Check the playlist for more!

MATLAB
169.5K views β’ Jan 28, 2019

About this video
Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w
Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0
Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY
Part 4 - What Is LQR Optimal Control: https://youtu.be/E_RDCFOlJx4
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, weβre 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 β Control Bootcamp: http://bit.ly/2HrWAFm
--------------------------------------------------------------------------------------------------------
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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
Β© 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.
Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0
Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY
Part 4 - What Is LQR Optimal Control: https://youtu.be/E_RDCFOlJx4
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, weβre 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 β 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
Β© 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.
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Video Information
Views
169.5K
Likes
3.7K
Duration
13:30
Published
Jan 28, 2019
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