
Problem in the data fitting with custom equation
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Hi 
I am facing some issue in the data fitting with the equation. I wanted to fit to my data with eqauation  
P(t) = 2Pr (1- exp(-(t/t0)^n) (also attached in the image). and Pr <= 40 and n <=2 are the upper limits.
I wanted to fit my function for n, Pr and t0.
t = 1.00E-07      2.00E-07      5.00E-07      1.00E-06      2.00E-06      5.00E-06      1.00E-05      2.00E-05      5.00E-05    1.00E-04 2.00E-04 5.00E-04     1.00E-03     2.00E-03     5.00E-03
P(t) = 2.3800    4.4800    6.4500    9.0200   13.2400   16.2600   18.9700   22.9900   26.3300   28.7800   30.3100   31.6500   31.9500 32.0500 32.3400
if possible let me know the code also.
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Accepted Answer
  Mathieu NOE
      
 on 29 Apr 2021
        hello 
here you are : 

t = [1.00E-07      2.00E-07      5.00E-07      1.00E-06      2.00E-06      5.00E-06      1.00E-05      2.00E-05      5.00E-05    1.00E-04 2.00E-04 5.00E-04     1.00E-03     2.00E-03     5.00E-03];
P = [2.3800    4.4800    6.4500    9.0200   13.2400   16.2600   18.9700   22.9900   26.3300   28.7800   30.3100   31.6500   31.9500 32.0500 32.3400];
f = @(a,b,c,x) 2*a.*(1-exp(-(x./b).^c));
obj_fun = @(params) norm(f(params(1), params(2), params(3),t)-P);
sol = fminsearch(obj_fun, [P(end)/2,1,1]);
Pr = sol(1)
t0 = sol(2)
n = sol(3)
figure;
semilogx(t, P, '+', 'MarkerSize', 10, 'LineWidth', 2)
hold on
semilogx(t, f(Pr, t0,n, t), '-');grid on
xlabel('time t');
ylabel('P(t)');
% % gives : 
% Pr =   15.9313
% t0 =   1.2114e-05
% n =     0.4339
2 Comments
  Mathieu NOE
      
 on 29 Apr 2021
				hello 
these are initial guesses , not limits; 
 fminsearch Multidimensional unconstrained nonlinear minimization (Nelder-Mead).
    X = fminsearch(FUN,X0) starts at X0 and finds a local minimizer X of the
    function FUN. FUN accepts input X and returns a scalar function value 
    F evaluated at X. X0 can be a scalar, vector or matrix. 
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