The Kalman Filter [Control Bootcamp] 

best videos in modern control engineering on YT

Thanks for sharing Prof. Finally found the clearest video in explaining kalman filter

from the very first seconds of this video, I knew it's gonna be a good one !

where is the "welcome back"

I'm not even graduated but I love to learn with you! Kalman Filter was one of my biggest fears by far🤪

THANK you so much for your content here on youtube. Were it not for you i would still have so many reexams to take. This means that i can end my master's thesis this summer. Cant wait!

That noise you make is unbelievable

one question, how do you write from right to left??

this is what exactly I was looking for!!!

You are a legend

Just like how the linearization of a non-linear system might cause a control system to fail outside certain bounds...do estimators also fail in certain situations? What happens in that situation?

can you please have a full playlist on Kalman filters?

God damn this course is on point 👌

Hi sir, Could you give me an example for noise, disturbance in real system? What did make them? For example, to control speed of DC motor, what will be disturbance, noise? Thank you in advance!

I need solution of kalman-yakubovich conjugate matrix equation which can be expressed as polynomial of matrices.

Very nice introduction, great intuition. Thank you.

This was crisp and clear. Thanks a lot

This makes me realize how bad my professor really is, thanks for sharing.

😊😊😊 Thank you very much ))) The best

I was shocked at how you were writing backwards until I saw your ring

Hİ Professor, I observed that if disturbance noise is much smaller than a certain level of observation noise, the estimation performance is much worser than the scenario that for the same level of observation noise, disturbance noise is close to the observation noise. I don't think this is a wrong observation since in the first scenario, we trust on our model and observations are not much important, so the estimation performance is bad but for the second scenario, we make significant corrections based on our observations, but how can this be shown mathematically?

Thanks, Professor!

Who knew KFC was something so complex :P

“Gow-see-ann”