- This is in linear case only.
- In practice it is good to keep sampling 5-10 times faster than the highest frequency in the system that you are interested in capturing.
- This is in absence of any additional priors; otherwise: look up compressed sensing literature.
Minimum input data resolution
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Charitha Buddhika Heendeniya
am 22 Jul. 2020
Kommentiert: Charitha Buddhika Heendeniya
am 23 Jul. 2020
Dear all,
I'm trying to use the system identification toolbox for the first time for characterizing a microgrid. While preparing the input data for the model (in this case I have 1 second time resolution data), I asked myself whether or not this time resolution I have is sufficient or not. Can any of you provide me with some insight as to how I could try to asnwer this question?
Of course, it is not practical for me to get data with higher time resolution than 1 second. But even in this case, I would like to have a feeling to what kind of inaccuracies that I might get for not having a higher time resolution. How can I get an estimation on this before starting the modeling process?
regards
Buddi
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Rajiv Singh
am 22 Jul. 2020
Look up Nyquist Sampling Theorem. If you are sampling (hopefully with anti-aliasing) at 1Hz then you cannot theoretically capture dynamics higher than 0.5 Hz. Some (may be subtle) aspects:
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