System Identification
3 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Hey!
I am designing a control system for a bearing system.
Here I have 3 inputs and one output. Can anybody tell me about the system identification of such system.
Regards, mac.
0 Commenti
Risposta accettata
Rajiv Singh
il 27 Giu 2012
Try estimation functions such as OE, ARX, N4SID and PEM in releases R2011b and older. In R2012a you can also try TFEST, SSEST, PROCEST and POLYEST.
http://www.mathworks.in/help/toolbox/ident/ref/tfest.html http://www.mathworks.in/help/toolbox/ident/ref/oe.html
etc...
You will have to indicate what you tried if you want more concrete help.
2 Commenti
Markus
il 28 Giu 2012
Hi Rajv! Im using version R2010b. i don't understand the parameters of nb nf and nk! Now i have 9 Inputs and 1 Output. Can u give me an example how to estimate this case with 9 Inputs? Have you get my PM with the problem?
Rajiv Singh
il 9 Lug 2012
y(t) = B/F u(t-nk)
Number of coefficients of B is nb and number of coefficients of F minus 1 is nf. If you have 9 inputs nb, nf and nk are row vectors of length 9, one entry for each transfer function.
Example:
nf = 2*ones(1,9); nb = nf; nk = ones(1,9);
data = iddata(output, input_matrix_with_9_columns, Ts); % Ts = sample time
model = oe(data, [nb nf nk])
Più risposte (1)
Vedere anche
Categorie
Scopri di più su Linear Model Identification in Help Center e File Exchange
Prodotti
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!