Fuzzy Control of Bioprocess
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概要
- 論文の詳細を見る
Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fussy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control. Fussy control is categorized into two types: the direct fuzzy control of process variables such as sugar feed rate in fed-batch culture and broth temperature in batch operation, and the indirect control of bioprocesses in which the phase recognition is first done by fuzzy inference using process variables such as DO, sugar concentration, pH and so on and then the control strategies having been constructed in each phase are used for the process operation. Fuzzy control has already been applied to practical industrial processes, such as production of a pravastatin precursor and vitamin B_2, and the Japanese sake mashing process. In this review, these industrial practices of fuzzy control are introduced.
- 公益社団法人日本生物工学会の論文
- 2000-05-25
著者
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Honda Hiroyuki
Department Of Bioengineering Tokyo Institute Of Technology
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Kobayashi Takeshi
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Honda Hiroyuki
Department Of Anesthesia Niigata City General Hospital
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KOBAYASHI Takeshi
Department of Biotechnology, School of Engineering, Nagoya University
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