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

[Fukashiimo]

Thank you for your advice. y and u have some correration. X in your equation is the Laplace operator, In this case, how I can use datafit?

"Denis Crété [via Scilab / Xcos - Mailing Lists Archives]" <ml-node+s994242n4034614h10 at n3.nabble.com>: 

>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 @@]
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>
>De : users [mailto:[hidden email]] De la part de Fukashiimo
>Envoyé : samedi 24 septembre 2016 23:11
>À : [hidden email]
>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]>:
>
>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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