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Synopsis
The soft-sensing and optimal control of microbial fermentation process has become an important research content in the biotechnology field. It is of great significance to improve the level of equipment automation, promote the innovation of biotechnology technology, improve production efficiency and economic efficiency.In this book, the inverse soft sensing model of fermentation process is constructed by combining inverse system method and least square support vector machine theory(LS-SVM), LS-SVM is used to approximate the nonlinear function which is difficult to express explicitly in the inverse soft-sensing model, and the support is established. Secondly, in order to realize decoupling and optimal control of multivariable nonlinear systems, the inverse control method of LS-SVM is proposed, and the inverse system method is combined with IMC. A new method of internal model control for inverse system based on LS-SVM is proposed, which improves the robustness and anti-jamming ability of the inverse control method. Furthermore, the theoretical results are applied to the development of engineering software, and good results are obtained.
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- PublisherLAP Lambert Academic Publishing
- Publication date2019
- ISBN 10 6200095183
- ISBN 13 9786200095183
- BindingPaperback
- LanguageEnglish
- Number of pages176
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095183
ISBN 13: 9786200095183
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 176 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 34987450/2
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP LAMBERT Academic Publishing, 2019
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ISBN 13: 9786200095183
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhu XianglinXianglin Zhu,professor of Jiangsu University, is mainly engaged in microbial fermentation intelligent detection and control technology .He has presided over or participated in six projects at the national, provincial and . Seller Inventory # 294885167
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200095183
ISBN 13: 9786200095183
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The soft-sensing and optimal control of microbial fermentation process has become an important research content in the biotechnology field. It is of great significance to improve the level of equipment automation, promote the innovation of biotechnology technology, improve production efficiency and economic efficiency.In this book, the inverse soft sensing model of fermentation process is constructed by combining inverse system method and least square support vector machine theory(LS-SVM), LS-SVM is used to approximate the nonlinear function which is difficult to express explicitly in the inverse soft-sensing model, and the support is established. Secondly, in order to realize decoupling and optimal control of multivariable nonlinear systems, the inverse control method of LS-SVM is proposed, and the inverse system method is combined with IMC. A new method of internal model control for inverse system based on LS-SVM is proposed, which improves the robustness and anti-jamming ability of the inverse control method. Furthermore, the theoretical results are applied to the development of engineering software, and good results are obtained. 176 pp. Englisch. Seller Inventory # 9786200095183
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095183
ISBN 13: 9786200095183
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The soft-sensing and optimal control of microbial fermentation process has become an important research content in the biotechnology field. It is of great significance to improve the level of equipment automation, promote the innovation of biotechnology technology, improve production efficiency and economic efficiency.In this book, the inverse soft sensing model of fermentation process is constructed by combining inverse system method and least square support vector machine theory(LS-SVM), LS-SVM is used to approximate the nonlinear function which is difficult to express explicitly in the inverse soft-sensing model, and the support is established. Secondly, in order to realize decoupling and optimal control of multivariable nonlinear systems, the inverse control method of LS-SVM is proposed, and the inverse system method is combined with IMC. A new method of internal model control for inverse system based on LS-SVM is proposed, which improves the robustness and anti-jamming ability of the inverse control method. Furthermore, the theoretical results are applied to the development of engineering software, and good results are obtained. Seller Inventory # 9786200095183
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP Lambert Academic Publishing, 2019
ISBN 10: 6200095183
ISBN 13: 9786200095183
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200095183
ISBN 13: 9786200095183
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Taschenbuch. Condition: Neu. Neuware -The soft-sensing and optimal control of microbial fermentation process has become an important research content in the biotechnology field. It is of great significance to improve the level of equipment automation, promote the innovation of biotechnology technology, improve production efficiency and economic efficiency.In this book, the inverse soft sensing model of fermentation process is constructed by combining inverse system method and least square support vector machine theory(LS-SVM), LS-SVM is used to approximate the nonlinear function which is difficult to express explicitly in the inverse soft-sensing model, and the support is established. Secondly, in order to realize decoupling and optimal control of multivariable nonlinear systems, the inverse control method of LS-SVM is proposed, and the inverse system method is combined with IMC. A new method of internal model control for inverse system based on LS-SVM is proposed, which improves the robustness and anti-jamming ability of the inverse control method. Furthermore, the theoretical results are applied to the development of engineering software, and good results are obtained.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch. Seller Inventory # 9786200095183
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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ISBN 10: 6200095183
ISBN 13: 9786200095183
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