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WOW!!

Nice Explanation :)

How will the problem formulation change for closed-loop system identification where the D matrix is zero? State feedback control

Hi, are the exercises/projects of this course available, or at least similar ones?

I have no idea what most of the jargon is about, but I do know what SRL's are, and this is very cool!

Thanks for your clear explanation 👍

dear professor, I cant find the lecture 24 in the playlist please update it

An excellent reaction to a typo @19:08 !

If you wish to skip course logistics, go to 30:27

Hello Professor, Thank you very much for the lecture, I learned a lot. Could you please explain the difference between X_t (the true value of X) and X_t as it appears in the equation for Y_t at minute 41 under the section of the error term? Thank you very much!

I've been struggling a hell lot to understand UKF this week, but your lecture demystifies everything in an hour!!! Thank you soooooo much!!!

Sir if you put assignments of the course it will be quite helpful.

an anchored inverted arm would securely attach an astronaut to any surface by grasping handles on his exosuit

i want these, except on a backpack that i can use in the kitchen at work as a chef.

Thank you very much professor

anyone knows what is the "d" on moesp matlab code?

Second time I return to watch this explanation of PLSR. Thanks for sharing!

great lecture.

Interesting lecture.

May I ask how many input-output pair will be sufficient to form a relatively correct model? Is their theoretical number can be defined for the requirement of data and how sufficiently excited is enough for state vector? Could you please advise? Thanks in advance.

Thank you so much, saved me on some homework I was doing

Great

there is a typo in page 8, which at 29:53, L22 should belongs to R^kp*kp, not R^pm*pm.😊

Is this a typo @54:25? v^T*X*X^T*v should equal to N*v^T*Cxx*v? But there is no N in slide, although it will be cancelled later.

what book would you recommend ,in term of clarity of explanation , for RLS?

Prof. Asada, Thank you very much for putting out your lectures on TH-cam! They are much appreciated :)

40:30 Professor, you used eigen vectors for sigma points but I saw other materials use the columns (or rows) of Choleskey decomposition. Which is correct?

Plz upload a video related to the application of recursive least square estimator in matlab

another best source ever --> "Prof. Michel van Biezen"

32:24 "There is no correlation between the blue state and the red state - Democrat and Republican" 🤣

Thank you H. Harry Asada! Your lessons are very appreciated and easy to follow. Best Regards from Sweden, Örebro.

Thank you H. Harry Asada! Your lessons are much appreciated and easy to follow. Best Regards.

Great your method of teaching is sooo good 🥰

Thank you very much for such an amazing lecture on PLSR !

Best explanation for PLS I ever saw! Thank you

Thank you! This is so clear and systematic! I am the one who use PLSR for chemistry :P

@8:07 for some reason he drinking orange juice made me wanna go buy one too

great lecture :)

how to solve decouple v=c in vector form on iteraration

if you lecture note /video about modified two step approach parameter estimation ,please may you help me?/

what would be a good prerequisite text for the system dynamics needed for people who may only be missing that background?

Great lecturer！

Indeed an ingenious design. Can such results could be replicated on concrete walls with steel reinforcement?

Thanks for this video lecture Sir. Its really helpful for start doing research work.

Can we use Wiener-Hopf Equation to identify multi-input single output (MISO) system?

Optimal playback speed 1.5-1.75

日本人说的英语真迷糊

Hi Mr. Nicholas Shelby, If you are reading this, is it possible for you to upload the project and assignment pdf files too? It would be really helpful. Thanks in advance.

thank you i will finish this course as soon as possible