Nonlinear Systems Modeling via Fuzzy Logic Rules
Hongwei Wang, Guangfu Ma · Control theory & applications · 2000
We propose a new self tuning fuzzy modeling by means of fuzzy clustering. Based on fuzzy clustering, the adaptive fuzzy inference is used to modify the 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 relative to a few examples are presented in the end.