A nonlinear system identification method based on local linear PLS method

Takashi Shikimori, Hideo Muroi, Shuichi Adachi

研究成果: Conference contribution

抜粋

Nonlinear system identification is one of the most important topics in system identification theory. In this paper, a new nonlinear system identification method using Partial Least-Squares (PLS) method is proposed, which is called a local linear PLS method because it is based on local models. The proposed method consists of two steps. First step is to identify local linear models by using the conventional Recursive Least-Squares (RLS) method. Second step is to identify a virtual system which describes a nonlinearity of the identified object, by PLS method. The effectiveness of the proposed method is shown through numerical simulations.

元の言語English
ホスト出版物のタイトルProceedings of the 13th IASTED International Conference on Intelligent Systems and Control, ISC 2011
ページ41-47
ページ数7
DOI
出版物ステータスPublished - 2011 11 9
イベント13th IASTED International Conference on Intelligent Systems and Control, ISC 2011 - Cambridge, United Kingdom
継続期間: 2011 7 112011 7 13

出版物シリーズ

名前Proceedings of the IASTED International Conference on Intelligent Systems and Control
ISSN(印刷物)1025-8973

Other

Other13th IASTED International Conference on Intelligent Systems and Control, ISC 2011
United Kingdom
Cambridge
期間11/7/1111/7/13

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Modelling and Simulation
  • Artificial Intelligence

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  • これを引用

    Shikimori, T., Muroi, H., & Adachi, S. (2011). A nonlinear system identification method based on local linear PLS method. : Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control, ISC 2011 (pp. 41-47). (Proceedings of the IASTED International Conference on Intelligent Systems and Control). https://doi.org/10.2316/P.2011.744-026