Adaptive control for nonlinear systems based on quasi-ARX neural network

Lan Wang, Yu Cheng, Jinglu Hu

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

When a linear model is used for controlling nonlinear systems solely, it can't satisfy accuracy requirement. Whereas, although a neural network can deal with the accuracy problem, it may lead to instability. In this paper, an adaptive controller is proposed for nonlinear dynamical systems based on linear model and quasi-ARX neural network model. A switching algorithm is designed between the linear and nonlinear models. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

元の言語English
ホスト出版物のタイトル2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
ページ1548-1551
ページ数4
DOI
出版物ステータスPublished - 2009 12 1
イベント2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, India
継続期間: 2009 12 92009 12 11

出版物シリーズ

名前2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Conference

Conference2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
India
Coimbatore
期間09/12/909/12/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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  • これを引用

    Wang, L., Cheng, Y., & Hu, J. (2009). Adaptive control for nonlinear systems based on quasi-ARX neural network. : 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings (pp. 1548-1551). [5393673] (2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings). https://doi.org/10.1109/NABIC.2009.5393673