[Scilab-users] System Identification for First order delay and dead time

[CRETE Denis]

Hello,
If ymodel is (experimentally) proportional to u (and u is not too close to 0), it seems better to adjust z= ymodel/u = f(s).
I frequently use “datafit” for this purpose. Here f(x)=  (K/(Tau*x+1))*exp(-Td*x).
HTH,
Denis

[@@ THALES GROUP INTERNAL @@]

De : users [mailto:users-bounces at lists.scilab.org] De la part de Fukashiimo
Envoyé : samedi 24 septembre 2016 23:11
À : users at lists.scilab.org
Objet : Re: [Scilab-users] System Identification for First order delay and dead time


s is the Laplace operator, u is the process input vatiable, y is the process output variable,

2016/09/24 23:44 "Samuel GOUGEON [via Scilab / Xcos - Mailing Lists Archives]" <[hidden email]</user/SendEmail.jtp?type=node&node=4034613&i=0>>:
Le 24/09/2016 15:59, Fukashiimo a écrit :

> Hello,
>
> I am looking for a Scilab software which is similar to Matlab System ID tool
> box.
>
> I would like to obtain values of parameters, Tau, K and Td for following
> first order delay + Dead time model from time series data.
> ymodel = (K/(Tau*s+1))*exp(-Td*s)*u
> ymodel: process output, u: process input
> SISO continuous time
.
What is s?
What's the input variable: s or u? And is the other a known parameter?


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