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  • Language: English

    Published by LAP Lambert Academic Publishing, 2019

    6200095183 / 9786200095183

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6200095183 / 9786200095183

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    Taschenbuch. Condition: 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6200095183 / 9786200095183

    • Softcover

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    Condition: 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. …

  • Language: English

    Published by Wiley-Blackwell, 2019

    1119247969 / 9781119247968

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  • Language: English

    Published by Wiley-Blackwell, 2018

    1119247969 / 9781119247968

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  • Language: English

    Published by Wiley-Blackwell, 2019

    1119247969 / 9781119247968

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  • Language: English

    Published by Wiley-Blackwell, 2019

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  • Language: English

    Published by Wiley-Blackwell, 2019

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  • Language: English

    Published by Wiley-Blackwell, 2019

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  • Language: English

    Published by John Wiley & Sons, 2019

    1119247969 / 9781119247968

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  • Language: English

    Published by BLACKWELL PUBL, 2018

    1119247969 / 9781119247968

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  • Language: English

    Published by Wiley-Blackwell, 2019

    1119247969 / 9781119247968

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    Condition: New. In English.

  • Language: English

    Published by John Wiley & Sons, 2019

    1119247969 / 9781119247968

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  • Language: English

    Published by Blackwell Pub, 2019

    1119247969 / 9781119247968

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    Hardcover. Condition: Brand New. 520 pages. 9.75x7.00x1.00 inches. In Stock.

  • Language: English

    Published by Wiley Jan 2019, 2019

    1119247969 / 9781119247968

    • Hardcover

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    Buch. Condition: Neu. Neuware - A comprehensive review of the fundamental molecular mechanisms in fermentation and explores the microbiology of fermentation technology and industrial applications Microbial Sensing in Fermentation presents the fundamental molecular mechanisms involved in the process of fermentation and explores the applied art of microbiology and fermentation technology. The text contains descriptions regarding the extraordinary sensing ability of microorganisms towards small physicochemical changes in their surroundings. The contributors - noted experts in the field - cover a wide range of topics such as microbial metabolism and production (fungi, bacteria, yeast etc); refined and non-refined carbon sources; bioprocessing; microbial synthesis, responses and performance; and biochemical, molecular and extra/intracellular controlling. This resource contains a compilation of literature on biochemical and cellular level mechanisms for microbial controlled production and includes the most significant recent advances in industrial fermentation. The text offers a balanced approach between theory and practical application, and helps readers gain a clear understanding of microbial physiological adaptation during fermentation and its cumulative effect on productivity. This important book: - Presents the fundamental molecular mechanisms involved in microbial sensing in relation to fermentation technology - Includes information on the significant recent advances in industrial fermentation - Contains contributions from a panel of highly-respected experts in their respective fields - Offers a resource that will be essential reading for scientists, professionals and researchers from academia and industry with an interest in the biochemistry and microbiology of fermentation technology Written for researchers, graduate and undergraduate students from diverse backgrounds, such as biochemistry and applied microbiology, Microbial Sensing in Fermentation offers a review of the fundamental molecular mechanisms involved in the process of fermentation.…

  • Language: English

    Published by Wiley-Blackwell, 2018

    1119247969 / 9781119247968

    • Hardcover

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  • Language: English

    Published by John Wiley and Sons Ltd, 2019

    1119247969 / 9781119247968

    • Hardcover

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    Condition: New. 2018. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by John Wiley and Sons Ltd, 2018

    1119247969 / 9781119247968

    • Hardcover
    • First Edition

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  • Language: English

    Published by LAP LAMBERT Academic Publishing Mai 2019, 2019

    6200095183 / 9786200095183

    • Softcover
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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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6200095183 / 9786200095183

    • Softcover
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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 .…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6200095183 / 9786200095183

    • Softcover
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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.…

  • Language: English

    Published by LAP Lambert Academic Publishing, 2019

    6200095183 / 9786200095183

    • Softcover
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  • Language: English

    Published by LAP Lambert Academic Publishing, 2019

    6200095183 / 9786200095183

    • Softcover
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  • Language: English

    Published by LAP LAMBERT Academic Publishing Mai 2019, 2019

    6200095183 / 9786200095183

    • Softcover
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    Taschenbuch. Condition: 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.…