Canonical Decomposition of Controllability and Observability (Dr. Jake Abbott, University of Utah)

[@ajayjoseph4626]

it would have been useful if you had made a playlist of control system lessons. thanks for the videos anyway

[@EngBandar1]

You can find the playlist in their website. www.telerobotics.utah.edu/index.php/StateSpaceControl Thank me later.

[@mohamadmawed6078]

What a fantastic video sir . The best tutorial on youtube about this topic .

[@ShenZhao-u7n]

A systematic and crystal clear lecture. Thanks!

[@stickervvigger]

Doc, I just want you to know that you've helped out a substantial majority of our class get through graduate modeling/controls. you rock! if you feel like moving to Colorado, we at CU would root for you. ^_- Thanks!

[@taojunwang7965]

Thank you, this video really helps me with the understanding

[@mohamadmawed6078]

What an amazing and very useful lecture . Thanks a lot for your help .

[@salman3037]

A very well explained lecture. Thanks.

[@evanparshall1323]

Wow this video was incredible. Thank you!!!

[@_thecontrolguy_]

Thanks a lot for the video, explained very clearly and very intuitively.

[@yeboutix5898]

hello Do you know how to make a state feedback (for a pole placement) when I have in the system some state variables that are not controllable ? I know i must take only the controlable AND the observable state but i don't know how to convert the input for the real system.

[@mohamedelaminenehar333]

😄 ترجم ترجم

[@KelvinAnto]

Thanks a lot sir.... Greetings from New Zealand

[@mirkoaveta3983]

Thanks. Very good lecture.

[@AndyPayne42]

Notice at the end of the video, 25:30 he states his assumption that time = 0....this is a false but useful assumption. Because you need to "store" the imaginary part in something because you can't observe the entire universe at once, ie your information is always limited...otherwise this video is decent, this is classical stuff though I suggest you look at the new math of origami or folding which takes this matrix algebra and really puts a new perspective on it.

[@SatyaKumarVadlamani]

+Andy Payne He didn't say that "time = 0". He said that the initial condition of the states, x(t0) = 0. That is, the states are initially assumed to be zero. Because, if you apply a Laplace transform on the differential equation governing the system, you'll find it hard to get the series in the Y(s)/U(s) form unless you consider initial conditions as 0.

[@dr.seaaral-dabooni383]

thanks

[@OfficialDjn0size]

SCON é pra meninos assim bambore

[@andrealves7938]

very good lecture, thanks!

[@core6jae]

Thank you for the awesome lecture