Adaptive fuzzy modeling for nonlinear systems based on fuzzy competitive learning
WANG Hong-wei
HE Han-gen
HUANG Ke-di
Abstract：The author proposes a new self-tuning fuzzy modeling by means of fuzzy competitive learning. Based on fuzzy competitive learning, the adaptive fuzzy inference is used in fuzzy system. Moreover, based on this modified fuzzy system, the paper presents an on-line identifying algorithm with which the on-line parameter estimation of nonlinear system is realized. To demonstrate the applicability of the proposed method, simulation results are presented at the end of this paper.
Keywords：system identificationfuzzy systemsnonlinear system modelingfuzzy competitive learningKalman filtering algorithm
Publication Date：2003-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 249-252 )