System Identification Toolbox - Continous or discrete model?
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Hello,
I want to identify a control process and have gathered samples of a thermocouple over time with a sample time of 1s.
My question is, which kind of model (continous or discrete) would I ideally use to estimate the process with the Identification Toolbox GUI?
From my understanding both could make sense. Discrete because my data is sampled and continous because the discrete data is derived from a
continous signal(falling and rising temperature).
Maybe you can help me to understand, what kind of model should be used in which situation?
Best regards
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Nils B
il 20 Lug 2019
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Star Strider
il 20 Lug 2019
As always, my pleasure.
I agree that identifying different models is preferable, and you will later have to determine if it is possible to combine them.
The GUI is convenient at the outset, as you describe, to explore the various options. However I have always used the functions to get the final results, since that is simply easier.
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