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

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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.

Original language	English
Title of host publication	ICCAS 2007 - International Conference on Control, Automation and Systems
Pages	1456-1459
Number of pages	4
DOIs	https://doi.org/10.1109/ICCAS.2007.4406568
Publication status	Published - 2007 Dec 1
Event	International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: 2007 Oct 17 → 2007 Oct 20

Publication series

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

Conference

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

Keywords

Database
JIT modeling
LOM
Local modeling
Sequential prediction

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCAS.2007.4406568

Cite this

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

Development of sequential prediction system for Large scale database-based Online Modeling. / Ogawa, Masatoshi; Yichun, Yeh; Ogai, Harutoshi et al.
ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 1456-1459 4406568 (ICCAS 2007 - International Conference on Control, Automation and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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",

month = dec,

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language = "English",

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

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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 - Sequential prediction

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

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

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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