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, às 06:15, Yoshikazu Noguchi <noguchi.ja...@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]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
