Comments (2)
Dear Gopal,
You can choose the correct order with 'SS_fixed_order=3' .
The identification proposed in the paper is closed-loop, therefore it is different from that simulated by you.
You have small typo errors in the code as follows:
"fset.white_noise_var: this function generates a white noise matrix (rows with zero mean). The input arguments are:
- L: size (number of columns of the returned matrix);
- Var: variance list;
e.g. the following command line:
noise=white_noise_var(100,[1,2])
returns a matrix that has 100 columns and two-row vectors with variances 1 and 2"
Var= [0.15, 0.15] # you have 2 outputs
noise = fset.white_noise_var(npts, Var)
Consider that lower variances are used in the paper.
"x,y_hat=SS_lsim_innovation_form(A,B,C,D,K,y,u,x0)"
xid, yid = fsetSIM.SS_lsim_innovation_form(sys_id_p.A, sys_id_p.B,
sys_id_p.C, sys_id_p.D,
sys_id_p.K, y_tot, U, sys_id_p.x0)
The order of U and Y is reversed.
Hoping to have answered your questions.
Best Wishes, the Sippy teams.
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Hi SIPPY teams,
Thank you for your response. After making the changes you mentioned, the script works as expected. Appreciate the help. I close this issue now.
Regards,
Gopal
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