Can someone help me on how can I get second order plus time delay model from the input-output data.

I have a set of input and output data of a process and I need to fit it into a second order plus time delay. I used the system identification app and imported the data and estimated using transfer function model. Here they asked about number of poles and zeros and input delay if any. But I have no idea about input or output delay. I just want to fit these data into SOPTD model.

[Jan Schuurmans]

Use the PID Tuner, by dotX Control solutions. It can fit SOTD models to data

[Mathieu NOE]

Have data to share ?

[Mathieu NOE]

so , you have solved now your problem ?

[Francisco J. Triveno Vargas]

HI, could be usefull

clear,

close all,

load steamdata ttsteam

head(ttsteam,4) % system in matlab

np = 2; % Poles number

nz = 2; % Zeros number

iodelay = 0.2; % delay

sysdef = tfest(ttsteam,np,nz); % identification without delay

% sysdef = tfest(z2,np,nz,iodelay); % identificaiton with delay

Regards

Francisco