Parameter Identification using Least Square Method Optimization
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Hi,
I trying to identify the parameters (di) of a function D(t) = d1*exp(-t) + d2*exp(-t)..di*exp(t) from discrete values D(t_n).
Thus, for n values of t, I have n experimental values of D(t_n).
I want to find the (di) parameters of D(t) by minimizing
F = D(t)-D(t_n), along the n values of t.
F will then be a vector where each component have i unknowns.
I have tried using lsqnonlin function but it doesn't work...
Since D(t) is symbolic, F is symbolic too.
Thanks!
1 Comment
Andrew Newell
on 19 May 2011
Are you sure you have written your function right? The first two terms add up to (d1+d2)*exp(-t), which is effectively one parameter.
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