Steve Brunton
Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models from data that optimally capture input–output dynamics.
https://www.eigensteve.com/
Source
Data-Driven Control: Linear System Identification
where can I find the links you are talking about in the video? Thanks and really great job you are doing here!!
is there opertunity in this domain can u help me any one
Does anyone know if Steve Brunton has a MOOC? I would love to take a class on this in Coursera / Edx or something
You should run for president of the USA.
Could you please, highlight in any future video as a sequel to this video, what optimization techniques are used in MPC?
As far as I am able to understand, it could be any optimization technique based on Linear Programming, Quadratic Programming, or even nature-inspired optimization techniques like Genetic Algorithm, PSO, Differential Evolution, etc.
OKAY JUST CURIOUS HOW CAN U DO THAT WRITING IN REVERSE LIKE ITS NOTHING, OR AM I MISSING SOMETHING
Hi steve! Awesome videos! Can you recommend articles for control systems for CFB SO2 control?
Great lecture. I recently read your book on DMD. Very readable and promising.
No separation between math and science! I teach mathematics. Your video is great! I would like to ask you how to make your blackboard? Looking forward to your answer!
数理不分家！我是教数学的。您的视频很棒！想请教您，您的黑板是怎样做的？期盼您的回答哦！
this is perfect. this is going to help so much with my thesis. thank you!
Your videos are a great survey of this field, they are exactly what I'm looking for
Thank you, Professor @UCm5mt-A4w61lknZ9lCsZtBw.
Could you please point to the video you are referring to in the video? On SINDy?
Thank you!!
Thank you so much! it helps me a lot!