Title :
Fuzzy based system identification
Author_Institution :
Dept. of Comput. Sci. & Eng. Res. Center, Howard Univ., Washington, DC, USA
Abstract :
An adaptive fuzzy recursive filter for determining the optimum filter coefficients is presented. The algorithm is used for system identification of a two-pole model. This algorithm is shown to perform better than the standard Widrow LMS algorithm in terms of the speed of convergence. Computer simulations of the algorithm´s performance are presented
Keywords :
IIR filters; adaptive filters; convergence of numerical methods; filtering theory; fuzzy set theory; identification; poles and zeros; IIR adaptive filter; adaptive fuzzy recursive filter; computer simulations; convergence speed; fuzzy system identification; optimum filter coefficients; performance; two-pole model; Adaptive algorithm; Adaptive filters; Adaptive systems; Computer simulation; Convergence; Error analysis; Fuzzy systems; IIR filters; Least squares approximation; System identification;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389984
