적응 뉴로 퍼지추론 기법에 의한 비선형 시스템의 구조 동정에 관한 연구

Structure Identification of Nonlinear System Using Adaptive Neuro-Fuzzy Inference Technique

This paper describes the structure Identification of nonlinear function using Adaptive Neuro-Fuzzy Inference Technique(ANFIS). Nonlinear mapping relationship between inputs and outputs were modeled by Sugeno-Takaki's Fuzzy Inference Method. Specially, the consequent parts were identified using a series of 1st order equations and the antecedent parts using triangular type membership function or bell type ones. According to learning Rules of ANFIS, adjustable parameters were converged rapidly and accurately.