How fit a parameterised ode solution to experimental data
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Laurence hutton-smith
on 26 Aug 2015
Commented: Laurence hutton-smith
on 27 Aug 2015
I have a model, a system of Odes, defined by a set of parameters. I also have a number of raw experimental data sets. I want to find an optimal parameterisation, what is a method of doing so?
Does there exist functionality in matlab to score the fit of one data set to another? If so I can easily write an optimisation algorithm using fmincon.
Any help is greatly appreciated as I have not attempted something like this before.
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Bjorn Gustavsson
on 27 Aug 2015
In addition to that this might be a possible solution provided you have access to the system identification toolbox: Estimating Nonlinear Grey-Box Models
HTH
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