基于模糊规则的非线性系统建模方法

摘要

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.%提出了一种基于模糊聚类自调整的模糊建模方法.基于模糊聚类通过自适应模糊推理来调整模糊系统.一种在线辨识算法是通过非线性系统参数的在线估计来进行的.为了证明所提出方法的适用性,给出了几个实例的仿真结果.