An improvement of quasi-ARX predictor to control of nonlinear systems using nonlinear PCA network

Lan Wang, Jinglu Hu

研究成果: Conference contribution

抄録

In this paper, a nonlinear principal component analysis (NPCA) is introduced to improve the quasi-ARX modeling. One part of the quasi-ARX model is an ordinary neurofuzzy network to parameterize the coefficients which faces to a problem of high dimension. NPCA is used for this part to deal with the problem. The processes of modeling, parameter estimating and control are given detailedly. Some simulations of systems controlling are provided to illustrate the effectiveness of the proposed modeling approach.

本文言語English
ホスト出版物のタイトルICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
ページ5095-5100
ページ数6
出版ステータスPublished - 2009
イベントICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
継続期間: 2009 8 182009 8 21

出版物シリーズ

名前ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

OtherICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
CountryJapan
CityFukuoka
Period09/8/1809/8/21

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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