Identification of Decentralized System with Common Parameters

Mizuho Takeuchi, Takahiro Kawaguchi, Masaki Inoue, Masaru Naruoka, Shuichi Adachi

研究成果: Conference contribution

抄録

This paper addresses a system identification problem for multiple isolated systems whose parameters are partially identical. An approach to the problem is a centralized identification; a single estimator collects all the input-output data from all of the systems to estimate their parameters at once. However, the approach can be practically infeasible when it is applied to a large number of systems due to the limitation of computational and communication resources. To solve the issue, we propose a method of a networked identification composed of two stages: 1) Multiple estimators collect the data from their own target systems to independently derive temporary estimates of their parameters and a covariance matrix of the estimates. 2) Then, with communicating the temporary estimates and the covariance matrix, they update their estimates. We also show the optimality of the proposed networked identification method with respect to the modeling accuracy, which is equivalently achieved by the centralized identification. Finally, we show the effectiveness of the proposed method in a numerical simulation.

本文言語English
ホスト出版物のタイトル2018 IEEE Conference on Control Technology and Applications, CCTA 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1508-1513
ページ数6
ISBN(電子版)9781538676981
DOI
出版ステータスPublished - 2018 10 26
イベント2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
継続期間: 2018 8 212018 8 24

出版物シリーズ

名前2018 IEEE Conference on Control Technology and Applications, CCTA 2018

Other

Other2nd IEEE Conference on Control Technology and Applications, CCTA 2018
国/地域Denmark
CityCopenhagen
Period18/8/2118/8/24

ASJC Scopus subject areas

  • 航空宇宙工学
  • 制御と最適化
  • 自動車工学
  • 安全性、リスク、信頼性、品質管理

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