Lingua: Inglese
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ISBN 10: 3659407232 ISBN 13: 9783659407239
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Lingua: Inglese
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ISBN 10: 3659407232 ISBN 13: 9783659407239
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Application of functional state modelling approach | Mathematical modeling of functional states in biotechnological processes | Kalin Kosev | Taschenbuch | 52 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659407239 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659407232 ISBN 13: 9783659407239
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2013, 2013
ISBN 10: 3659407232 ISBN 13: 9783659407239
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biotechnological processes have very large application in very different fields such as food industry, pharmacology, environmental application and etc. They are characterized by a complicated structure of organization and independent characteristics, which determine their nonlinearity and non-stationary. In many cases, the globally valid conventional numeric models, which describe the overall process behavior cannot be used in on-line monitoring and control, either because they do not describe the process well enough or contain too many poorly known parameters. In this book a multiple-model approach, and in particular modelling approach based on functional state decomposition, to cope with strongly nonlinear and time-varying systems, is presented. The functional state concept could be applied in modelling of E. coli cultivation processes as an alternative for the conventional global modelling. It is difficult to develop global models, which are valid for all different process phases. Although structured models are known to describe the E. coli cultivation process well, they are quite complex to use in industrial-scale production in contrast to local models. 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2013, 2013
ISBN 10: 3659407232 ISBN 13: 9783659407239
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Biotechnological processes have very large application in very different fields such as food industry, pharmacology, environmental application and etc. They are characterized by a complicated structure of organization and independent characteristics, which determine their nonlinearity and non-stationary. In many cases, the globally valid conventional numeric models, which describe the overall process behavior cannot be used in on-line monitoring and control, either because they do not describe the process well enough or contain too many poorly known parameters. In this book a multiple-model approach, and in particular - modelling approach based on functional state decomposition, to cope with strongly nonlinear and time-varying systems, is presented. The functional state concept could be applied in modelling of E. coli cultivation processes as an alternative for the conventional 'global' modelling. It is difficult to develop 'global' models, which are valid for all different process phases. Although structured models are known to describe the E. coli cultivation process well, they are quite complex to use in industrial-scale production in contrast to 'local' models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659407232 ISBN 13: 9783659407239
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biotechnological processes have very large application in very different fields such as food industry, pharmacology, environmental application and etc. They are characterized by a complicated structure of organization and independent characteristics, which determine their nonlinearity and non-stationary. In many cases, the globally valid conventional numeric models, which describe the overall process behavior cannot be used in on-line monitoring and control, either because they do not describe the process well enough or contain too many poorly known parameters. In this book a multiple-model approach, and in particular modelling approach based on functional state decomposition, to cope with strongly nonlinear and time-varying systems, is presented. The functional state concept could be applied in modelling of E. coli cultivation processes as an alternative for the conventional global modelling. It is difficult to develop global models, which are valid for all different process phases. Although structured models are known to describe the E. coli cultivation process well, they are quite complex to use in industrial-scale production in contrast to local models.