how to simulate experimental data with a poly-function

how to simulate experimental data with a poly-function (F+G*T...; F G T are non linear functions) and estimate parameters (F(a,b,c,...,x); a b c are parameters and x is the variable Load y(x) with x to MATLAB, and I have the general form y=F+G*T.... with parameters inside, so I want to fit y of the model to experimental data and extract the values of the parameters from this mach

[Zine]

hellow every body, In my poly-function the parameters are vectors and not scalars, can any body tell me how to find those vectors; I just remind that I have experimental xdata and ydata and I want to find the parameters a,b,c,... to fit y=poly-function(xdata,a,b,c,...) so at each xdata(i) point I will have coresponding a(i), b(i), c(i),... and all this using least square fitting Thanks in advance

[Matt J]

It doesn't change anything that your parameters are now scalars and not vectors. When you use LSQCURVEFIT, you pass all of your parameters bundled into a vector [a,b,c,...] anyway.

Answer 1

[Matt J]

Use LSQCURVEFIT if you've got it. Or, one of the functions in the Curve Fit Toolbox.