An evolutionary approach to derive adaptive optimal control policy
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- SHIMIZU Yoshiaki
- Toyohashi University of Technology
Bibliographic Information
- Other Title
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- 進化最適化手法による適応的最適制御則の導出
- In the case of chemical reaction process
- 化学反応プロセスを例として
Abstract
To obtain a near optimal control policy for real world chemical processes, in this paper, we focused our attention on a new meta-heuristic method termed differential evolution (DE). Compared with conventional approaches characterized by variational logic as well as by the inconveniences of simultaneous optimization methods for differential-algebraic equation, we have shown DE's ability to derive a near optimal solution adaptive to various requirements in practice. Since the algorithm is straightforward and flexible to manage various conditions, we can cope with high dimensionality and outstanding non-linearity peculiar to chemical process in real world applications. Taking reaction processes, we applied the proposed method under various meaningful conditions, and validated its adaptability in comparison with other methods.
Journal
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- Proceedings of the Japan Joint Automatic Control Conference
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Proceedings of the Japan Joint Automatic Control Conference 52 (0), 69-69, 2009
The Japan Joint Automatic Control Conference
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Keywords
Details 詳細情報について
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- CRID
- 1390001205646726016
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- NII Article ID
- 130005025545
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed