I have 2 arrays of 800000 input and output data samples. The system is a kind of oven that works from 0 to 10 volts. The sample time is 0.001s.
I have to identify the model of this system, but first of all, given that the data are clearly dirty, I would like to filter the noise.
How can I do it with the System Identification Toolbox of MATLAB?
Moreover, how can I estimate the cutoff frequency to remove the noise?
As suggested, here below are the sampled data plot. As you can see the voltage inputs looks good, but the temperature outputs are affect of noise. I would like to remove it, in order have the output more "smooth".