Asymptotic system identification method based on particle swarm optimization

Hideo Muroi, Shuichi Adachi

研究成果: Conference contribution

抜粋

In general, structure of a system to be identified is unknown for users a priori. This makes the model complex and high order structure. In this paper, we introduce the asymptotic method (ASYM) to deal with the problem. ASYM calculates a high-order model using the well-known least squares method, then reduces the identified model to a simple one. For this model reduction, various model reduction techniques such as balanced realization and output error reduction were developed. In this paper, a new method to reduce the high-order model using the particle swarm optimization in the frequency domain is proposed. Effectiveness of the proposed method is examined through numerical examples.

元の言語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4499-4502
ページ数4
出版物ステータスPublished - 2009 12 1
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
Japan
Fukuoka
期間09/8/1809/8/21

    フィンガープリント

ASJC Scopus subject areas

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

これを引用

Muroi, H., & Adachi, S. (2009). Asymptotic system identification method based on particle swarm optimization. : ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings (pp. 4499-4502). [5333057] (ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings).