Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network

Lan Wang*, Yu Cheng, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper presents a novel approach for designing adaptive controller of nonlinear dynamical systems based on an improved quasi-ARX neural network prediction model. The improved quasi-ARX neural network prediction model has two parts: the linear part is used for stability and the nonlinear part is used to satisfy accuracy requirement. Then, we can obtain a linear controller and a nonlinear controller based on the characteristic of the improved quasi-ARX neural network prediction model. A fuzzy switching algorithm is designed between the two controllers. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

本文言語English
ホスト出版物のタイトル2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
DOI
出版ステータスPublished - 2010
イベント2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain
継続期間: 2010 7 182010 7 23

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks

Conference

Conference2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
国/地域Spain
CityBarcelona
Period10/7/1810/7/23

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

フィンガープリント

「Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル