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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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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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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786200095183
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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Condizione: 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 . Codice articolo 294885167
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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Condizione: New. PRINT ON DEMAND. Codice articolo 18386937510
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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Taschenbuch. Condizione: Neu. Soft-sensing and Decoupling Control in Microbial Fermentation Process | Xianglin Zhu (u. a.) | Taschenbuch | 176 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200095183 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 116812135
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
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LAP LAMBERT Academic Publishing Mai 2019, 2019
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Codice articolo 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. Condizione: 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. Codice articolo 9786200095183
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Soft-sensing and Decoupling Control in Microbial Fermentation Process
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095183
ISBN 13: 9786200095183
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 34987450/2
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