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  1. 紀要
  2. 東京都立産業技術高等専門学校研究紀要
  3. 7

ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー

https://metro-cit.repo.nii.ac.jp/records/150
https://metro-cit.repo.nii.ac.jp/records/150
6e28b9ea-a8c1-4dc6-a6b4-3829156b9f27
名前 / ファイル ライセンス アクション
KJ00008928159.pdf KJ00008928159 (203.4 kB)
license.icon
Item type 紀要論文(ELS) / Departmental Bulletin Paper(1)
公開日 2013-03-01
タイトル
タイトル ノイズリダクション手法を利用したロバストパラメータ推定-逐次最小二乗法に関する検証ー
タイトル
言語 en
タイトル Robust Parameter Estimation by Using Noise Reduction Method— The Verification on The Recursive Least Squares Method —
言語
言語 jpn
キーワード
言語 en
主題 System identification
キーワード
言語 en
主題 ARX model
キーワード
言語 en
主題 Digital controller
キーワード
言語 en
主題 Microprocessor control
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
ページ属性
内容記述タイプ Other
内容記述 P(論文)
著者名(日) 青木 , 立

× 青木 , 立

WEKO 840

青木 , 立

ja-Kana アオキ, タツ

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川田, 誠一

× 川田, 誠一

WEKO 622

川田, 誠一

ja-Kana カワタ, セイイチ

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著者名よみ アオキ, タツ

× アオキ, タツ

WEKO 950

アオキ, タツ

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カワタ, セイイチ

× カワタ, セイイチ

WEKO 1074

カワタ, セイイチ

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著者名(英) Aoki, Tatsu

× Aoki, Tatsu

WEKO 841

en Aoki, Tatsu

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Kawata, Seiichi

× Kawata, Seiichi

WEKO 1146

en Kawata, Seiichi

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抄録(英)
内容記述タイプ Other
内容記述 There are power/size and price/cost constraints in realizing embedded mechatronic systems. In order to meetthese specifications, fixed-point microprocessors with a short word-length are suitable for control and real-time identification.From calculation time and accuracy, simple and reliable identification algorithm for fixed-point arithmetic is required.Thus, we proposed previously the simple method that estimates directly physical plant parameters by unifying MRAC anddelta form. However, the proposed method may suffer from parameter estimation errors due to measurement noise. In thispaper signal processing for identification is proposed. The principle is based on noise reduction methodology. High-passand low-pass filter are inserted for plant input and output, respectively so that the input-output relation of the plant doesnot change. Since high-frequency noise or measurement noise is reduced by low-pass filter, S/N ratio of plant output canbe increased. As an illustration, ARX models on first- and second- order systems by using recursive least squares areconsidered. Simulation results show that parameter estimation errors can be greatly reduced by the proposed method.
雑誌書誌ID
収録物識別子タイプ NCID
収録物識別子 AA12210629
書誌情報 東京都立産業技術高等専門学校研究紀要
en : Research reports of Tokyo Metropolitan College of Industrial Technology

巻 7, p. 72-76, 発行日 2013-03
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