Application of Large-scale database-based Online Modeling to plant state long-term estimation

Masatoshi Ogawa, Harutoshi Ogai

Research output: Contribution to journalArticle

Abstract

Recently, attention has been drawn to the local modeling techniques of a new idea called "Just-In-Time (JIT) modeling". To apply "JIT modeling" to a large amount of database online, "Large-scale database-based Online Modeling (LOM)" has been proposed. LOM is a technique that makes the retrieval of neighboring data more efficient by using both "stepwise selection" and quantization. In order to predict the long-term state of the plant without using future data of manipulated variables, an Extended Sequential Prediction method of LOM (ESP-LOM) has been proposed. In this paper, the LOM and the ESP-LOM are introduced.

Original languageEnglish
Pages (from-to)718-721
Number of pages4
JournalIEEJ Transactions on Electronics, Information and Systems
Volume131
Issue number4
DOIs
Publication statusPublished - 2011

Keywords

  • Just-in-time modeling
  • Large-scale database
  • Local modeling
  • Long-term prediction
  • Online modeling
  • Plant

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Application of Large-scale database-based Online Modeling to plant state long-term estimation. / Ogawa, Masatoshi; Ogai, Harutoshi.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 131, No. 4, 2011, p. 718-721.

Research output: Contribution to journalArticle

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