MATLAB: SISO time delay

cross correlationsystem identificationSystem Identification Toolboxtime delay

Someone can help to determine time delay between input/output signal in a SISO plant (input and output vectors are available), using cross correlation peak and knowing the system sampling time

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See DELAYEST and IDDATA/IMPULSE in System Identification Toolbox. The following demo might help:

http://www.mathworks.com/products/sysid/demos.html?file=/products/demos/shipping/ident/iddemo3.html

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MATLAB: Signal Processing / Model Evidence !!

In general, you need to make some assumptions about what might have happened to the signals (e.g. addition of noise, non-linear distortion, delays etc.) in order to answer your question. However, it sounds like you believe that there are two possibilities: (a) the signals are unrelated or (b) the main difference is just a time delay. In that case, cross-correlation may be sufficient. Start by having a look at that.

MATLAB: Is there a way to output the final simulated time-response from procest()

Ah, I see it now: it is the InputOffset that you estimated or supplied during process model estimation but perhaps did not specify for the compare plot. Use compareOptions to specify InputOffset for compare plot:

 opt = compareOptions('InputOffset', sys.Report.Parameters.InputOffset);
 compare(data, sys, opt)

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MATLAB: Signal Processing / Model Evidence !!

MATLAB: Is there a way to output the final simulated time-response from procest()

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