On a Continuous-time System Identification Using Optimization Method

• Iwase Masami

  Dept. of Computers and Systems Engineering Tokyo Denki University

• Shiino Yasuyuki

  Dept. of Computers and Systems Engineering Tokyo Denki University

• Hatakeyama Shoshiro

  Dept. of Computers and Systems Engineering Tokyo Denki University

抄録

In this paper, we propose a method for identification of continuous-time transfer function models directly using sampled input-output data. In the proposed method, input-output derivatives are obtained by outputs of filters, and the transfer function can be represented as an auto-regressive model by using the derivatives. This method differs from the traditional parameter identification methods based on the least-squares, because measurement noise is considered in the criterion explicitly and the identification problem can be formulated as an optimization problem with constraint. The optimal solution is presented in this paper. The effectiveness of the method is verified through an example of a linear motor identification.

収録刊行物

• SICE Annual Conference Program and Abstracts

  SICE Annual Conference Program and Abstracts 2002 (0), 439-439, 2002

  公益社団法人 計測自動制御学会

キーワード

• Identification
• Continuous-time
• Optimization

詳細情報

• CRID: 1390282680560725888
• NII論文ID: 130006960083
• DOI: 10.11499/sicep.2002.0.439.0
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可