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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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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%. |
format | Online Article Text |
id | pubmed-6261216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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