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Cyber-Physical Systems: Advances in Design & Modelling: 259 (Studies in Systems, Decision and Control) - Tapa dura

 
9783030325787: Cyber-Physical Systems: Advances in Design & Modelling: 259 (Studies in Systems, Decision and Control)

Sinopsis

This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master's students interested in the research and applications of cyber-physical systems in different domains.

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This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master s students interested in the research and applications of cyber-physical systems in different domains.

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9783030325817: Cyber-Physical Systems: Advances in Design & Modelling: 259 (Studies in Systems, Decision and Control)

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ISBN 10:  3030325814 ISBN 13:  9783030325817
Editorial: Springer, 2020
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Kravets, Alla G.; et al. (Eds.)
Publicado por Cham, Springer., 2020
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania

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IX, 347 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Systems, Decision and Control. Volume 259. Sprache: Englisch. Nº de ref. del artículo: 7295FB

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Kravets, Alla G.|Bolshakov, Alexander A.|Shcherbakov, Maxim V.
Publicado por Springer International Publishing, 2019
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: moluna, Greven, Alemania

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the design of cyber-physical systems and defines digital tools to broaden the scope of the application domains of such systems&nbspProvides scientific, practical, and methodological approaches to the model. Nº de ref. del artículo: 448679066

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Alla G. Kravets
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master's students interested in the research and applications of cyber-physical systems in different domains. 360 pp. Englisch. Nº de ref. del artículo: 9783030325787

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Alla G. Kravets
Publicado por Springer International Publishing, 2019
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master's students interested in the research and applications of cyber-physical systems in different domains. Nº de ref. del artículo: 9783030325787

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Publicado por Springer, 2019
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: Ria Christie Collections, Uxbridge, Reino Unido

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Condición: New. In. Nº de ref. del artículo: ria9783030325787_new

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Alla G. Kravets
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

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Buch. Condición: Neu. Neuware -This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master¿s students interested in the research and applications of cyber-physical systems in different domains.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch. Nº de ref. del artículo: 9783030325787

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Kravets, Alla G. (Editor) / Bolshakov, Alexander A. (Editor) / Shcherbakov, Maxim V. (Editor)
Publicado por Springer, 2019
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: Revaluation Books, Exeter, Reino Unido

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Hardcover. Condición: Brand New. 360 pages. 9.25x6.10x0.98 inches. In Stock. Nº de ref. del artículo: x-3030325784

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Publicado por Springer, 2019
ISBN 10: 3030325784 ISBN 13: 9783030325787
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America

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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020013681

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