Title : 
Laguerre-based system identification: an indirect approach
         
        
            Author : 
Zhou, Quan-Gen ; Davison, Edward J.
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
         
        
        
        
        
        
            Abstract : 
In this paper, an indirect approach to Laguerre-based system identification is presented. The approach does not aim at a Laguerre model. It uses Laguerre modeling to arrive at a state variable model based on a realization procedure. The main benefit of this approach is that the model order may dramatically be reduced, compared to Laguerre modeling. Since the approach is built upon the Laguerre model structure for parameter estimation and an SVD-based realization procedure for model construction, it inherits both statistically and numerically favorable properties
         
        
            Keywords : 
parameter estimation; singular value decomposition; Laguerre model structure; Laguerre-based system identification; SVD-based realization; indirect approach; parameter estimation; state variable model; Additive noise; Convergence; Educational institutions; Laplace equations; Noise measurement; Parameter estimation; Signal processing; System identification; Transfer functions;
         
        
        
        
            Conference_Titel : 
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
         
        
            Conference_Location : 
Orlando, FL
         
        
            Print_ISBN : 
0-7803-7061-9
         
        
        
            DOI : 
10.1109/.2001.980639