9786200095183 - soft-sensing and decoupling control in microbial fermentation process de zhu, xianglin; wang, bo (9 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Taschenbuch. Condición: 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]d…e | Anbieter: preigu.
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Condición: 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 biotechn…ology 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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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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 innova…tion 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.
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Condición: 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 a…t the national, provincial and .
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: 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.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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.
