Problem in using nlinfit for Robust State estimation

Objective: I need to estimate/calculate V(10x6) matrix = 60 input variables. These 60 inputs are used by a function Cal_Meas(V)=f(V) to calculate z(60x1) which is output. The particular combination (calculated iteratively) of these 60 variables are used to produce a desired output z[].

I have an initial estimate for V (Vind).

How to solve the above problem using nlinfit?

I tried the following code but it is giving me the initial estimate as the final output.

model = @(x, y)(Cal_Measurements_new(Vind, V)) [beta,r,J,COVB,mse] = nlinfit(V, z, model, Vind)

Can someone help me

Answer 1

[Ihssan Al-Attia]

do you found solution ?