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?