Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network

Imam Sutrisno*, Mohammad Abu Jami'in, Jinglu Hu

*この研究の対応する著者

研究成果: Article査読

6 被引用数 (Scopus)

抄録

In this article, a fuzzy adaptive controller approach is presented for nonlinear systems. The proposed quasi-ARX neural network based on Lyapunov learning algorithm is used to update its weight for prediction model as well as to modify fuzzy adaptive controller. The improving performances of the Lyapunov learning algorithm are stable in the learning process of the controller and able to increase the accuracy of the controller as well as fast convergence of error. The simulations are intended to show the effectiveness of the proposed method.

本文言語English
ページ(範囲)22-26
ページ数5
ジャーナルArtificial Life and Robotics
19
1
DOI
出版ステータスPublished - 2014 2月 1

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学一般
  • 人工知能

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