How to do parameter estimation of a ODE based model through Global Optimization Toolbox?

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Bendo Voon
Bendo Voon on 11 Jul 2014
Answered: Shashank Prasanna on 11 Jul 2014
I have a ODE based model and a set of experimental data for my project. There are seven parameters (Constant) inside the model need to do parameter estimation through GA solver. My fitness function/Objective function will be sum of quadratic difference between simulated and experimental result.
I had saw someone proposed that " Implement your model, write a cost function, and use Optimization Toolbox to minimize this cost function by fitting parameters to have model output match the data." in the previous question.
Could anyone elaborate how to work with the method above or any tutorial on it? Thanks in advance!

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