Title :
Novel approach to parameter estimation of a class of nonlinear systems
Author :
Sun, Lianming ; Liu, Wenjiang ; Sano, Akira
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
Abstract :
A new identification algorithm based on over-sampling scheme is proposed for a Hammerstein model which consists of a nonlinear element followed by a linear dynamic model. The unknown linear transfer function model can be identified by making use of the information obtained from an over-sampled output, and the intermediate input to the linear part can also be estimated as well as an arbitrary continuous or discontinuous function type of nonlinear element by a deconvolution approach. The prior information of the nonlinear element is not needed in the new algorithm
Keywords :
deconvolution; nonlinear systems; parameter estimation; signal sampling; transfer functions; Hammerstein model; continuous function; deconvolution; discontinuous function; identification algorithm; intermediate input; linear dynamic model; linear transfer function model; nonlinear element; nonlinear systems; oversampling; parameter estimation; Approximation error; Automatic control; Integrated circuit noise; Nonlinear systems; Parameter estimation; Polynomials; Sampling methods; Signal processing; Testing; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604763