Systems identification using a type of takgi-sugeno fuzzy model

摘要

A methodology for obtaining the structure and parameters of a Takagi - Sugeno fuzzy model is proposed. The algorithm is divided into two steps: coarse tuning and fine tuning. In coarse tuning, the model structure identification is based on partial derivatives obtained from the sampled output with regard to the inputs. In fine tuning, a traditional nonlinear optimization method is used to adjust the antecedent and consequent parameter. Finally, some examples are given to demonstrate the validty of these algorithms.