Control Bootcamp: Three Equivalent Representations of Linear Systems

[@caedknight1218]

You are a god amongst men, thank you very much for this series it genuinely helps a lot of people out.

[@climbscience4813]

I'm really looking forward to this. I am really used to looking at things in the frequency-domain & via convolutions and the state space representations gave me a bit of a headache. Looking forward to connecting the different domains, so I get a more complete picture!

[@hdheuejhzbsnnaj]

God damn this series is perfect 🥰 this is at least my second viewing...

[@brunomartel4639]

You're a blessing man

[@ragadalabady4674]

Hi Dr Steve, I was wondering if you have a video explaining the Multiple Model Adaptive Control method (MMAC) or if you can suggest papers or books to read about the design of this method using MATLAB

[@maheshsrinivas25]

Isn't all of this applicable specifically to Linear Time Invariant systems? The videos mention only the linear part.

[@climbscience4813]

You are right, time invariance is a prerequisit to working with both the frequency domain and with convolutions. He didn't mention it specifically, but I think that the underlying assumption that the system does not change its properties over time is fairly well established here. Time invariance is essentialy that.

[@zoheirtir]

شكرا جزيلا

[@КатяКузьмина-м1з]

So it is a pure Digital Signal Processing approach :) Interesting, hehe