Problem in the data fitting with custom equation

1 次查看(过去 30 天)
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.

采纳的回答

Mathieu NOE
Mathieu NOE 2021-4-29
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 个评论
Somnath Kale
Somnath Kale 2021-4-29
Thanks for your kind reply!
I have one dbout: how do you seted the upper limit fot n t0 and Pr ?
is it here?
sol = fminsearch(obj_fun, [P(end)/2,1,1]);
please let know!
I also fitted the equation with fmincon but I was uable to set the upper bound.
Mathieu NOE
Mathieu NOE 2021-4-29
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.

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Nonlinear Optimization 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by