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

Masatoshi Ogawa; Yeh Yichun; Harutoshi Ogai; Kenko Uchida

doi:10.1109/ICCAS.2007.4406568

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

大学院情報生産システム研究科

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	https://doi.org/10.1109/ICCAS.2007.4406568
出版ステータス	Published - 2007 12月 1
イベント	International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of 継続期間: 2007 10月 17 → 2007 10月 20

出版物シリーズ

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

Conference

Conference	International Conference on Control, Automation and Systems, ICCAS 2007
国/地域	Korea, Republic of
City	Seoul
Period	07/10/17 → 07/10/20

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

文献へのアクセス

10.1109/ICCAS.2007.4406568

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引用スタイル

Ogawa, M., Yichun, Y., Ogai, H., & Uchida, K. (2007). Development of sequential prediction system for Large scale database-based Online Modeling. In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 1456-1459). Article 4406568 (ICCAS 2007 - International Conference on Control, Automation and Systems). https://doi.org/10.1109/ICCAS.2007.4406568

Ogawa, M, Yichun, Y, Ogai, H & Uchida, K 2007, Development of sequential prediction system for Large scale database-based Online Modeling. in ICCAS 2007 - International Conference on Control, Automation and Systems., 4406568, ICCAS 2007 - International Conference on Control, Automation and Systems, pp. 1456-1459, International Conference on Control, Automation and Systems, ICCAS 2007, Seoul, Korea, Republic of, 07/10/17. https://doi.org/10.1109/ICCAS.2007.4406568

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title = "Development of sequential prediction system for Large scale database-based Online Modeling",

abstract = "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.",

keywords = "Database, JIT modeling, LOM, Local modeling, Sequential prediction",

author = "Masatoshi Ogawa and Yeh Yichun and Harutoshi Ogai and Kenko Uchida",

year = "2007",

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doi = "10.1109/ICCAS.2007.4406568",

language = "English",

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series = "ICCAS 2007 - International Conference on Control, Automation and Systems",

pages = "1456--1459",

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note = "International Conference on Control, Automation and Systems, ICCAS 2007 ; Conference date: 17-10-2007 Through 20-10-2007",

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T1 - Development of sequential prediction system for Large scale database-based Online Modeling

AU - Ogawa, Masatoshi

AU - Yichun, Yeh

AU - Ogai, Harutoshi

AU - Uchida, Kenko

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

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KW - LOM

KW - Local modeling

KW - Sequential prediction

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M3 - Conference contribution

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SN - 9788995003879

T3 - ICCAS 2007 - International Conference on Control, Automation and Systems

SP - 1456

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

T2 - International Conference on Control, Automation and Systems, ICCAS 2007

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

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出版物シリーズ

Conference

ASJC Scopus subject areas

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