What is the best way with small error to solve ODE depends on experimental data(numerical data) ??
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I got 'displacement and accleration' data from device.
And I taked out 'velocity' with kalmanfilter method through those two datas above.
My objective is 'https://en.wikipedia.org/wiki/Bouc%E2%80%93Wen_model_of_hysteresis'
optimizing the parameters of boucwen model.
So, I tried to solve it using ODE45 and 'lsq curvefit'.
When I did this with sine velocity data not numerical data, it be optimized well.
But when I put 'experimental data(like 1000x1 vector) into boucwen model', it didn't work well.
like Not optimizing every parameters.
I've already uploaded my code in matlab community a lot. So I dont want to bother you by that code that I made.
Now, I'd like to ask what the good way in this case to solve.
I will apreciate if I teach a way or show me similiar case...
Thank you so much.
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Amir Kleiner
2018-11-17
You should try using the optimization app.
You can either open it from the "apps" tab in your workspace, or from the code.
Try checking out the documentation for optimtool.
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