NDLI: Streptomycin fermentation process modeling with principal component analysis and fuzzy model

Content Provider	IEEE Xplore Digital Library
Author	Jin Xiaoming Wang Shuqing Rong Gang
Copyright Year	2000
Description	Author affiliation: Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China (Jin Xiaoming)
Abstract	Analysis, modeling and control for a fed-batch fermentation process still remain challenging issues. Based on principal component analysis (PCA) and fuzzy modelling a simple and efficient approach to monitoring fed-batch streptomycin fermentation is presented. The data obtained from an industrial streptomycin fermentation process is first analyzed with PCA so that the large multivariate data with highly correlated and noisy measurements can be compressed into a lower dimension space which contains most of the variance of the original matrix. Moreover, a fuzzy model is used to construct a product (antibiotic) concentration estimator of the streptomycin fermentation process, prior knowledge and expertise are important in fed-batch fermentation processes. The results of the fuzzy model compared with a linear multivariate regression model indicate the potential of the fuzzy model as a state estimator of all such industrial fed-batch processes.
Starting Page	2095
Ending Page	2098
File Size	361731
Page Count	4
File Format	PDF
ISBN	078035995X
DOI	10.1109/WCICA.2000.862969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-26
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Monitoring Fuzzy control Industrial control Aerospace industry Analysis of variance Extraterrestrial measurements Antibiotics Multivariate regression State estimation
Content Type	Text
Resource Type	Article

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