familiar with system identification toolbox?

1 次查看(过去 30 天)
I am using the system identification toolbox to find out the transfer function of a set of measured data. I use the simple example as below.but what I get as the transfer function in this toolbox is completely different from my TF. does anyone know what happens to the data and how exactly this toolbox works?
if true
T1=1;
Ks=1;
s=tf('s');
sys= Ks/(1+T1*s);
[y t]=step(sys);
plot(t,y)
end
after this code,import t and y as the input and output data in ident tool and see what happens in TF estimation!

采纳的回答

Arkadiy Turevskiy
Arkadiy Turevskiy 2014-7-18
a little bit familiar:)
System Identification Toolbox lets you identify transfer functions and other models from input-output test data. "Input data" means the excitation signal you apply to the system, not the time vector you use. Step response by definition means system response to step input, so the input signal is 0 at time 0 and then is equal to 1.
So to get the results you expect:
u=ones(size(t));
Then import u and y (not t and y)as input and output data, starting time:0, sampling time: t(2)-t(1).
Then estimate a transfer function, and you will get your 1/(s+1).
  3 个评论
sellyEpp
sellyEpp 2014-7-21
How is the Validation data used? does it have a significant effect on the results?if you could explain it with the same example, that would be great!
Arkadiy Turevskiy
Arkadiy Turevskiy 2014-7-21
Validation data is used to make sure the model you get is good. If you use just one data set, you will always be able to find a model that gives you a perfect fit for that particular dataset. That's where the validation dataset comes in - you test your model on it to see if this still gives you good results.

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Linear Model Identification 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by