System Identification toolbox: how to print estimated ARMA-coefficients for each iteration step in armax-algorithm
    4 visualizzazioni (ultimi 30 giorni)
  
       Mostra commenti meno recenti
    
    Urs Hackstein
 il 10 Giu 2020
  
    
    
    
    
    Risposto: Rajiv Singh
    
 il 11 Giu 2020
            One can calculate ARMA-coefficients using the armax-algorithm from the Systems Identification Toolbox.
The final set of coefficients can be determined using the following code:
estimatedPolymodel=armax(iddata(outputdata,inputdata,tsample),[na nb nc nk], opt);
ARcoeff=estimatedPolymodel.A
MAcoeff=estimatedPolymodel.B
But how can we print the (preliminary) estimated sets of coefficients at each iteration step of the algorithm?
0 Commenti
Risposta accettata
  Rajiv Singh
    
 il 11 Giu 2020
        Use "full" display option, as in:
opt=armaxOptions('Display','full');
estimatedPolymodel=armax(iddata(outputdata,inputdata,tsample),[na nb nc nk], opt);
0 Commenti
Più risposte (0)
Vedere anche
Categorie
				Scopri di più su Linear Model Identification in Help Center e File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!