Title : 
A direct approach to closed-loop identification of Wiener models using subspace-based methods
         
        
            Author : 
Zhao, Yong ; Westwick, David
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
         
        
        
        
        
        
            Abstract : 
In this paper, we present a new way to identify the Wiener system, a series connection of a linear dynamic system followed by a static non-linearity, operating in closed-loop systems experiments. A variant of the MOESP (multivariable output-error state space) algorithm is developed to identify a state space model of the linear part of a Wiener system operating in closed-loop. The nonlinearity can then be fitted between the simulated output of the linear system and the measured output of the cascade.
         
        
            Keywords : 
closed loop systems; control nonlinearities; identification; linear systems; nonlinear systems; state-space methods; stochastic systems; MOESP algorithm; Wiener system; cascade output; closed-loop identification; linear dynamic system; multivariable output-error state space; nonlinear system; static nonlinearity; subspace-based method; Colored noise; Instruments; Iterative algorithms; Iterative methods; Linear systems; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; State-space methods; System identification;
         
        
        
        
            Conference_Titel : 
American Control Conference, 2003. Proceedings of the 2003
         
        
        
            Print_ISBN : 
0-7803-7896-2
         
        
        
            DOI : 
10.1109/ACC.2003.1244106