Control Bootcamp: Overview on HackerTube: recommended by 4 Hacker News commenters across 4 separate months, 2020–2023.
lecture · intro · evergreen
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.
“a sweet lecture series called the Control Bootcamp that dives deep into control fundamentals while still being approachable”
4 Hacker News comments link this video. Each one links back to its thread.
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
in “Ask HN: What are some of the best university courses available online for free?” · View on HN
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]
in “You need to know what right-half-plane zeros are” · View on HN
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
in “Efficiency is dangerous and slowing down makes life better” · View on HN
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
in “Introduction to Model Predictive Control” · View on HN