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!
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
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.
You are a god amongst men, thank you very much for this series it genuinely helps a lot of people out.
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!
God damn this series is perfect 🥰 this is at least my second viewing...
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
You're a blessing man
Isn't all of this applicable specifically to Linear Time Invariant systems? The videos mention only the linear part.
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.
So it is a pure Digital Signal Processing approach :) Interesting, hehe
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