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

Masatoshi Ogawa*, Harutoshi Ogai

*この研究の対応する著者

研究成果: Article査読

抄録

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.

本文言語English
ページ(範囲)718-721
ページ数4
ジャーナルIEEJ Transactions on Electronics, Information and Systems
131
4
DOI
出版ステータスPublished - 2011

ASJC Scopus subject areas

  • 電子工学および電気工学

引用スタイル