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Cyber-Physical Systems: Advances in Design & Modelling

  • Book
  • © 2020

Overview

Editors:
  1. Alla G. Kravets

    1. Volgograd State Technical University, Volgograd, Russia

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  2. Alexander A. Bolshakov

    1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

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  3. Maxim V. Shcherbakov

    1. Volgograd State Technical University, Volgograd, Russia

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  • Presents the design of cyber-physical systems and defines digital tools to broaden the scope of the application domains of such systems
  • Provides scientific, practical, and methodological approaches to the modelling and simulation of cyber-physical systems, the design of adaptive optimization algorithms, problem analysis, and data preprocessing
  • Discusses implemented breakthrough systems, models, programs, and methods that could be used in industrial processes to predict and lead cyber-physical system functions, states, and evolution
  • Focuses on the simulation of cyber-physical systems and their modules based on the concept of a digital twin

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 259)

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-ix
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  2. Cyber-Physical Systems Design

    1. Front Matter

      Pages 1-1
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    2. Flow Analysis and Its Applications for Equipment Design

      • Vadim Shakhnov, Elena Rezchikova, Lyudmila Zinchenko, Natalia Sergeeva
      Pages 3-11

    3. Cyber-Physical Control System of Hardware-Software Complex of Anthropomorphous Robot: Architecture and Models

      • Mikhail Stepanov, Vyacheslav Musatov, Igor Egorov, Svetlana Pchelintzeva, Andrey Stepanov
      Pages 13-24

    4. Method of the Exoskeleton Assembly Synthesis on the Base of Anthropometric Characteristics Analysis

      • Anna Matokhina, Stanislav Dragunov, Svetlana Popova, Alla G. Kravets
      Pages 25-42

    5. Using Special Text Points in the Recognition of Documents

      • Oleg A. Slavin
      Pages 43-53

    6. Extraction of Cyber-Physical Systems Inventions’ Structural Elements of Russian-Language Patents

      • Sergey S. Vasiliev, Dmitriy M. Korobkin, Alla G. Kravets, Sergey A. Fomenkov, Sergey G. Kolesnikov
      Pages 55-68

    7. Conceptual Approach to Designing Efficient Cyber-Physical Systems in the Presence of Uncertainty

      • A. P. Alekseev
      Pages 69-80

    8. About Preparation of the Analytical Platform for Creation of a Cyber-Physical System of Industrial Mixture of Loose Components

      • A. B. Kapranova, I. I. Verloka, D. D. Bahaeva
      Pages 81-91

    9. Development of an Automated System for Monitoring and Diagnostics a Guided Robotic Vehicle

      • Alexander Bazhanov, Roman Vashchenko, Vasily Rubanov, Olga Bazhanova
      Pages 93-107

    10. About Formation of Elements of a Cyber-Physical System for Efficient Throttling of Fluid in an Axial Valve

      • A. B. Kapranova, A. E. Lebedev, A. M. Melzer, S. V. Neklyudov
      Pages 109-119

    11. A Study of a Trajectory Synthesis Method for a Cyclic Changeable Target in an Environment with Periodic Dynamics of Properties

      • Dmitrii Motorin, Serge Popov, Vadim Glazunov, Mikhail Chuvatov
      Pages 121-134

  3. Cyber-Physical Systems Modeling

    1. Front Matter

      Pages 135-135
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    2. Intellectualization Methods of Population Algorithms of Global Optimization

      • Anatoly Karpenko, Taleh Agasiev, Maksim Sakharov
      Pages 137-151

    3. Development of Models and Algorithms for Intellectual Support of Life Cycle of Chemical Production Equipment

      • Evgenii Moshev, Valeriy Meshalkin, Makar Romashkin
      Pages 153-165

    4. Simulation of the Multialternativity Attribute in the Processes of Adaptive Evolution

      • Semen Podvalny, Eugeny Vasiljev
      Pages 167-178

    5. Regularization Methods for the Stable Identification of Probabilistic Characteristics of Stochastic Structures

      • Vladimir Kulikov, Alexander Kulikov
      Pages 179-191

    6. Outlier Detection in Predictive Analytics for Energy Equipment

      • Alexander Andryushin, Ivan Shcherbatov, Nina Dolbikova, Anna Kuznetsova, Grigory Tsurikov
      Pages 193-203

    7. Ontology-Based Model of User Activity Data for Cyber-Physical Systems

      • Tatiana Shulga, Alexander Sytnik, Nikita Danilov, Denis Palashevskii
      Pages 205-216

    8. Selection of Components of a Composite Material Under Fuzzy Information Conditions

      • I. V. Germashev, M. A. Kharitonov, E. V. Derbisher, V. E. Derbisher
      Pages 217-227
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Keywords

About this book

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.

Editors and Affiliations

  • Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets, Maxim V. Shcherbakov

  • Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Alexander A. Bolshakov

Bibliographic Information

  • Book Title: Cyber-Physical Systems: Advances in Design & Modelling

  • Editors: Alla G. Kravets, Alexander A. Bolshakov, Maxim V. Shcherbakov

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-32579-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-32578-7Published: 05 December 2019

  • Softcover ISBN: 978-3-030-32581-7Published: 05 December 2020

  • eBook ISBN: 978-3-030-32579-4Published: 25 November 2019

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: IX, 347

  • Number of Illustrations: 77 b/w illustrations, 88 illustrations in colour

  • Topics: Cyber-physical systems, IoT, Computational Intelligence

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