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

[Fukashiimo]

Thank you for your suggestion. However, I am not sure how I should
formulate my Laplace domain equation. Could you please advise me more
specifically?

Thanks.

2016/09/25 午前9:33 "Tim Wescott [via Scilab / Xcos - Mailing Lists
Archives]" <ml-node+s994242n4034619h65 at n3.nabble.com>:

> I suggest that you roll your own cost function, and use optim.
>
> Where possible, with optim, if part of the problem is nonlinear and part
> is linear, it's good to use a plain old linear least-squares fit for the
> plain old linear part.  In your case, that's K.  Tau and Td will have to
> be determined by optim.
>
> The cost function should generate a vector for ymodel with K = 1, then
> find the best fit for K with
>
> K = y / ymodel;
>
> then return a cost
>
> cost = norm(y - K * ymodel);
>
> wrap that all up in NDCost and then optim, and away you'll go.
>
> On 2016-09-24 06:59, Fukashiimo wrote:
>
> > 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
> >
> > Object function: Min ( (y-ymodel)^2)
> >
> > Could you please tell me which package I should use to solve this
> > issue?
> >
> > Best Regards,
> >
> >
> >
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