Fuzzy Modeling and Design of Fuzzy Controller Using Fuzzy Clustering

퍼지 클러스터링을 이용한 퍼지 모델링과 퍼지 제어기의 설계

  • Published : 1997.07.21

Abstract

In this paper, we present a fast and robust algorithm for the design of fuzzy controller and identifying fuzzy model from numerical data by combining the cluster estimation method with a linear least squares estimation procedure. The proposed method is compared with Adaptive Neuro-Fuzzy Inference System(ANFIS) as the standard example of neuro-fuzzy model. Finally we will show its usefulness and effectiveness for the design of fuzzy controller of a cart-pole system and fuzzy modeling for the coagulant dosing of a water purification system.

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