Optimization of transfer function

This is my transfer function

y = (2*C_p*s + G_p*R_w + C_p*R_w*s)/(2*C_p*s) - ((R_w/2 + (L*(2*C_p*s + G_p*R_w + C_p*R_w*s))/(2*C_p*(C*L*s^2 + G*L*s + 1)))*(G1_p + C1_p*s))/(C1_p*s)

I need to optimise this function with the data.

I have Data in Freq vs magnitude and freq vs phase

it would be helpful if some one can help me on how it can be done

[Walter Roberson]

What do you mean by "optimize" for this purpose?

[ravi teja]

I need to find R_w L C G C_p G_p C1_p G1_p these parameter values using least square or genetic optimization method

Answer 1

[Sulaymon Eshkabilov]

Hi,

There are two realtively easy ways to obtain those parameters' estimate values.

(1) Using system identification toolbox fcns: upload your data to the toolbox and specificy your TF order

(2) The inverse frequency response: using invfreqs().

[ravi teja]

Thank you for your answer.

But i am trying to do it as a matlab code not using solvers.