Development of sequential prediction system for Large scale database-based Online Modeling

Masatoshi Ogawa*, Yeh Yichun, Harutoshi Ogai, Kenko Uchida

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper reports a sequential prediction system of "Large scale database-based Online Modeling (LOM)". The sequential prediction system predicts time-series process variables repeating processing that predicts process variables of next step by using the predicted process variables of previous step and prepared manipulated variables. Furthermore, the system is applied to the industrial reactor; Practical effectiveness of the system is verified. As the result, the system has predicted the process variables with satisfactory accuracy. The practical effectiveness has been confirmed.

本文言語English
ホスト出版物のタイトルICCAS 2007 - International Conference on Control, Automation and Systems
ページ1456-1459
ページ数4
DOI
出版ステータスPublished - 2007 12 1
イベントInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
継続期間: 2007 10 172007 10 20

出版物シリーズ

名前ICCAS 2007 - International Conference on Control, Automation and Systems

Conference

ConferenceInternational Conference on Control, Automation and Systems, ICCAS 2007
国/地域Korea, Republic of
CitySeoul
Period07/10/1707/10/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

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