Please use this identifier to cite or link to this item: https://doi.org/10.1252/jcej.39.746
Title: Data-based LQI controller design from plant data
Authors: Kansha, Y.
Hashimoto, Y.
Chiu, M.-S. 
Keywords: Data-based controller design
Just-in-time learning
LQI controller
Issue Date: 20-Jul-2006
Source: Kansha, Y., Hashimoto, Y., Chiu, M.-S. (2006-07-20). Data-based LQI controller design from plant data. Journal of Chemical Engineering of Japan 39 (7) : 746-752. ScholarBank@NUS Repository. https://doi.org/10.1252/jcej.39.746
Abstract: The performance of model-based controller design is strongly influenced by the quality of the underlying model. However, the development of an accurate first-principle model is not a trivial task. In this research, a data-based LQI controller design method directly from plant data is developed. By incorporating the just-intime learning technique, LQI design can be carried out without the need of a first-principle model, which is normally assumed to be available in the traditional LQI design. Simulation results are presented to illustrate the proposed method and a comparison with its conventional counterparts is made. Copyright © 2006 The Society of Chemical Engineers, Japan.
Source Title: Journal of Chemical Engineering of Japan
URI: http://scholarbank.nus.edu.sg/handle/10635/63687
ISSN: 00219592
DOI: 10.1252/jcej.39.746
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