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The generalized predictive control of bacteria concentration in marine lysozyme fermentation process

Due to the high degree of strong coupling and nonlinearity of marine lysozyme fermentation process, it is difficult to accurately model the mechanism. In order to achieve real‐time online measurement and effective control of bacterial concentration during fermentation, a generalized predictive contr...

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Detalles Bibliográficos
Autores principales: Zhu, Xianglin, Zhu, Ziyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261216/
https://www.ncbi.nlm.nih.gov/pubmed/30510747
http://dx.doi.org/10.1002/fsn3.850
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author Zhu, Xianglin
Zhu, Ziyan
author_facet Zhu, Xianglin
Zhu, Ziyan
author_sort Zhu, Xianglin
collection PubMed
description Due to the high degree of strong coupling and nonlinearity of marine lysozyme fermentation process, it is difficult to accurately model the mechanism. In order to achieve real‐time online measurement and effective control of bacterial concentration during fermentation, a generalized predictive control method based on least squares support vector machines is proposed. The particle swarm optimization least squares support vector machine (PSO‐LS‐SVM) model of lysozyme concentration is established by optimizing the regularization parameters and the kernel parameters of the least squares support vector machine by particle swarm optimization. To avoid the nonlinear problems in predictive control, the model is linearized at each sampling point and the generalized predictive algorithm is used to predict the bacteria concentration of lysozyme. The experimental simulation shows that the least squares support vector machine model with particle swarm optimization can achieve good prediction effect. The linearized model performs generalized predictive control, which makes the total activity of the enzyme increased from 60% to 80% and the yield improved by 30%.
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spelling pubmed-62612162018-12-03 The generalized predictive control of bacteria concentration in marine lysozyme fermentation process Zhu, Xianglin Zhu, Ziyan Food Sci Nutr Original Research Due to the high degree of strong coupling and nonlinearity of marine lysozyme fermentation process, it is difficult to accurately model the mechanism. In order to achieve real‐time online measurement and effective control of bacterial concentration during fermentation, a generalized predictive control method based on least squares support vector machines is proposed. The particle swarm optimization least squares support vector machine (PSO‐LS‐SVM) model of lysozyme concentration is established by optimizing the regularization parameters and the kernel parameters of the least squares support vector machine by particle swarm optimization. To avoid the nonlinear problems in predictive control, the model is linearized at each sampling point and the generalized predictive algorithm is used to predict the bacteria concentration of lysozyme. The experimental simulation shows that the least squares support vector machine model with particle swarm optimization can achieve good prediction effect. The linearized model performs generalized predictive control, which makes the total activity of the enzyme increased from 60% to 80% and the yield improved by 30%. John Wiley and Sons Inc. 2018-10-18 /pmc/articles/PMC6261216/ /pubmed/30510747 http://dx.doi.org/10.1002/fsn3.850 Text en © 2018 The Authors. Food Science & Nutrition published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Zhu, Xianglin
Zhu, Ziyan
The generalized predictive control of bacteria concentration in marine lysozyme fermentation process
title The generalized predictive control of bacteria concentration in marine lysozyme fermentation process
title_full The generalized predictive control of bacteria concentration in marine lysozyme fermentation process
title_fullStr The generalized predictive control of bacteria concentration in marine lysozyme fermentation process
title_full_unstemmed The generalized predictive control of bacteria concentration in marine lysozyme fermentation process
title_short The generalized predictive control of bacteria concentration in marine lysozyme fermentation process
title_sort generalized predictive control of bacteria concentration in marine lysozyme fermentation process
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261216/
https://www.ncbi.nlm.nih.gov/pubmed/30510747
http://dx.doi.org/10.1002/fsn3.850
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