optimisation of simulink parameters
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*i need to optimise two parameters in a simulink model using least square curve fitting(lsqcurvefit) solver of optimization toolbox.for that i should write the objective function.My aim is to minimise the error b/w observed output and output obtained from simulation through simulink for optimising the parameters in simulink.The parameters in the simulink model which i need to optimise is x and k.x value range-0.1-0.4. k value range-20-40.
how can i write my objective function for this in a m-file?Also can i use optimization toolbox for solving this problem?plz help somebody!!*
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Your objective function should probably
- Set the values of the parameters in your model to those passed in from your optimizer
- Call your simulation using the "sim" command
- Calculate the error by subtracting the output of your simulation from your "observed output" (perhaps the absolute or root-mean-squared error?)
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