For multiple experiments, I’d like to fit a simple process model where 2 poles (tp1, tp2) are the same for all experiments, but gain (Kp), zero (tz) and time delay (td) can be different for each experiment. Is there an elegant way to to this with the System Identification Toolbox? Each experiment comprises 2 time series: one forcing input & one response ouput.For multiple experiments, I’d like to fit a simple process model where 2 poles (tp1, tp2) are the same for all experiments, but gain (Kp), zero (tz) and time delay (td) can be different for each experiment. Is there an elegant way to to this with the System Identification Toolbox? Each experiment comprises 2 time series: one forcing input & one response ouput. For multiple experiments, I’d like to fit a simple process model where 2 poles (tp1, tp2) are the same for all experiments, but gain (Kp), zero (tz) and time delay (td) can be different for each experiment. Is there an elegant way to to this with the System Identification Toolbox? Each experiment comprises 2 time series: one forcing input & one response ouput. system identification, procest MATLAB Answers — New Questions

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