Data-Based LQI Controller Design from Plant Data
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概要
- 論文の詳細を見る
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.
- 社団法人 化学工学会の論文
- 2006-07-01
著者
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HASHIMOTO Yoshihiro
Department of Nephro-urology, Nagoya City University, Graduate School of Medical Sciences
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Chiu Min-sen
Department Of Chemical And Biomolecular Engineering National University Of Singapore
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Kansha Yasuki
Department Of Chemical And Biomolecular Engineering National University Of Singapore
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Hashimoto Yoshihiro
Department Of Nephro-urology Nagoya City University Graduate School Of Medical Sciences
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Hashimoto Yoshihiro
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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