Control Bootcamp: Overview
Steve Brunton4 HN recommenders · recommended in 4 months, 2020–2023
lecture · intro · evergreen · 2020–2023 on HN
The opening lecture of Steve Brunton's Control Bootcamp, covering the kinds of control and why closed-loop feedback matters. It starts a series that follows the control chapter of the Brunton and Kutz data-driven science book.
HN recommends the series as an approachable but rigorous way to learn control theory, with good production quality.
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4 comments from Hacker News
Big fan of steve brunton's control bootcamp series. Helped me through my control systems courses greatly ▶ this video Great for robotics, or anything where you need to control complex physical systems, from f1 cars to 3d characters in games
Not a book, but this series on Youtube is excellent. ▶ this video > familiar with Nyquist-Shannon's theorem BTW: In control theory there is also link
Steve Brunton, a University of Washington professor has a sweet lecture series called the Control Bootcamp that dives deep into control fundamentals while still being approachable. Great production values too: ▶ this video
I really like the Control System Bootcamp videos by Prof. Steve Brunton on youtube: ▶ this video Good book's to accompany the videos are: - linear systems theory by Joao Hespanha (has some MATLAB code) - Linear state-space control systems by Willams and Lawrence (has some MATLAB code) - Control system design by Bernard Friedland (20 usd dover paperback available) - Data-Driven Science & Engineering by Steve Brunton (video guy above) and Kutz Some other interesting books: - Control system engineering: design and implementation using ARM Cortex-M Micro-controllers (some MATLAB and C code) - Linear Feedback Control: analysis and design with MATLAB by Xue, Chen and Atherton (MATLAB, obviously) ...a lot basic MATLAB control system functions are also available in Octave, Scilab, Python, and Julia packages