R help - Sep 2016 - R Help: System Identification for First order delay and dead time with TF model

Hello,

 

May I ask your help?

 

I would like to do System Identification using time series data which has
transport delay. 

First of all, I would like to identify the following parameters (K, Tau, TD)
for SISO case in the following Laplace domain equation: 

K, Tau, TD:   ymodel = (K/(Tau*s +1)) * exp(-TD*s) 

I have time series data, y (Process output) and U (process input). 

 

Object function: Min ( (y-ymodel)^2) 

 

I failed to find the right package in R for this issue? Could you please
tell me which package I should use to solve this issue?

 

Thanks. 

 

Y. Noguchi


	[[alternative HTML version deleted]]

Hi 

This is a continuous time system.  Are you willing to discretize the model?  

Regards 

Ed

Enviado do meu iPhone
> Em 23 de set de 2016, ?s 06:15, Yoshikazu Noguchi <noguchi.japan at
gmail.com> escreveu:
> 
> Hello,
> 
> 
> 
> May I ask your help?
> 
> 
> 
> I would like to do System Identification using time series data which has
> transport delay. 
> 
> First of all, I would like to identify the following parameters (K, Tau,
TD)
> for SISO case in the following Laplace domain equation: 
> 
> K, Tau, TD:   ymodel = (K/(Tau*s +1)) * exp(-TD*s) 
> 
> I have time series data, y (Process output) and U (process input). 
> 
> 
> 
> Object function: Min ( (y-ymodel)^2) 
> 
> 
> 
> I failed to find the right package in R for this issue? Could you please
> tell me which package I should use to solve this issue?
> 
> 
> 
> Thanks. 
> 
> 
> 
> Y. Noguchi
> 
> 
>    [[alternative HTML version deleted]]
> 
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