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Optimization of model parameters

Hi
I'm busy trying to optimize a model that predicts the trajectory of a projectile. I have two parameters that needs to be optimized, drag coefficient and a compensation factor (Kv).
I'm comparing the ground height, maximum height reached and chronograph velocity of the model to that obtained during experiments. I need to reduce the %error between these three parameters as much as possible. I considered using "fminsearch" but cannot see how this wil work.
Any advice on how I would proceed with this and where to start instead of manually iterating the model?
Thanks in advance.

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1 Answer

Answer by Stephan
on 9 Oct 2019
Edited by Stephan
on 9 Oct 2019
 Accepted Answer

Since you have measured values and you have an equation you should use lsqcurvefit to estimate the parameters. You find examples how to do this in the linked documentation site.

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Hi Stephan
I will have a look at it thanks!

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