Skip to main content
SpringerLink
Log in

Cyber-Physical Systems: Modelling and Intelligent Control

  • Book
  • © 2021

Overview

Editors:
  1. Alla G. Kravets

    1. Volgograd State Technical University, Volgograd, Russia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Alexander A. Bolshakov

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Maxim Shcherbakov

    1. Volgograd State Technical University, Volgograd, Russia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Considers open questions in cyber-physical systems modeling and intelligent control including both theoretical and practical aspects
  • Extends fundamental control theory methods and methodologies as well as approaches based on data collecting and intelligent data processing
  • Describes the advanced intelligent control approaches and its applicability for complex systems like drilling systems, intelligent robots for emergency response, harvesting robots, and diesel engine

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 338)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (28 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Cyber-Physical Systems Modeling

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Numerical Simulation of Distributed Devices for the Processing of UltraWideband Information

      • Sergey L. Chernyshev, Igor B. Vlasov
      Pages 3-10

    3. Significant Uniformity Digital Models on the Set of Probabilistic Points

      • Valery Kuznetsov, Valery Pesoshin, Artyom Gumirov, Darya Shirshova
      Pages 11-21

    4. The Multiplicative-Isolating Principle of Significantly Nonlinear Mathematical Models Creation

      • Rudolf Neydorf, Anatoly Gaiduk, Nikita Gamayunov
      Pages 23-32

    5. Numerical Approaches to Solving a Non-linear System of Schrödinger Equations

      • Airat Sakhabutdinov, Vladimir Anfinogentov, Oleg Morozov, Robert Gubaydullin
      Pages 33-49

    6. Research of the Boundary Value Problem for the Sophie Germain Equationinin in a Cyber-Physical System

      • Andrey Ushakov
      Pages 51-63

    7. Modeling of Vibration Separation of Bulk Materials Based on the Theory of Random Processes

      • Fail Akhmadiev, Renat Gizzyatov, Ilshat Nazipov
      Pages 65-75

  3. Cyber-Physical Systems Intelligent Control

    1. Front Matter

      Pages 77-77
      Download chapter PDF

    2. Forecast Evaluation Techniques for I4.0 Systems

      • Andrey Davydenko, Cuong Sai, Maxim Shcherbakov
      Pages 79-102

    3. Classification of the Technological Process Condition Based on Hybrid Neural Networks

      • Andrey Puchkov, Maxim Dli, Yekaterina Lobaneva
      Pages 103-112

    4. Fuzzy Rules Reduction in Knowledge Bases of Decision Support Systems by Objects State Evaluation

      • Maria Dagaeva, Aleksey Katasev
      Pages 113-123

    5. Conversion of CGA Models to Jordan Controlled Form for Design Significantly Nonlinear Control Systems

      • Rudolf Neydorf, Anatoly Gaiduk, Sergey Kapustyan, Nikita Kudinov
      Pages 125-138

    6. Searching and Selection of a Flexible Manufacturing System by Means of Frame Model

      • J. F. Mammadov, K. S. Abdullaev, U. H. Agaev, I. R. Aliev, G. G. Huseynova
      Pages 139-152

    7. Robust Autonomous Control of a Multiply Connected Technological Object with Input Delays

      • I. V. Gogol, O. A. Remizova, V. V. Syrokvashin, A. L. Fokin
      Pages 153-166

    8. Bee-Inspired Algorithm for Groups of Cyber-Physical Robotic Cleaners with Swarm Intelligence

      • Oleg Yu. Maryasin
      Pages 167-177

    9. Modeling the Highly Effective Object for Continuous Compaction Control of the Cyber-Physical Road-Construction System

      • Andrey Prokopev, Zhasurbek Nabizhanov, Rurik Emelyanov, Vladimir Ivanchura
      Pages 179-190

  4. Modelling and Intelligent Control for Space Exploration

    1. Front Matter

      Pages 191-191
      Download chapter PDF

    2. Creation of a Simulation Model of Spacecrafts’ Navigation Referencing to the Digital Map of the Moon

      • Alexey Andreev, Natalya Demina, Yury Nefedyev, Natalya Petrova, Arthur Zagidullin
      Pages 193-204

    3. Information Technology Concept of Integration of Computing Resources and Physical Processes in Cyber-Physical Systems for Personalized Information About the Potential Danger of an Emergency Situation in High-Altitude Flight

      • Nikolai Markov, Alexey Bogomolov, Anatoly Shishov, Mikhail Dvornikov
      Pages 205-214
Back to top

Keywords

About this book

This book highlights original approaches of modelling and intelligent control of cyber-physical systems covering both theoretical and practical aspects. The novel contribution of the book covers the transformation of scientific research and their results into applications for cyber-physical systems design and operation during the whole life cycle in different domains.  


Given its scope, the book offers an excellent reference book for researchers and other readers in the fields of cyber-physical systems modelling and intelligent control, space exploration and practical implementation of cyber-physical systems. The book also benefits researchers and practitioners in artificial intelligence and machine learning, as described results can be applied in cyber-physical systems design and cost-effectively maintenance. The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Cyber-Physical Systems projects. 


Editors and Affiliations

  • Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets, Maxim Shcherbakov

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

    Alexander A. Bolshakov

Bibliographic Information

  • Book Title: Cyber-Physical Systems: Modelling and Intelligent Control

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

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-66077-2

  • 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 2021

  • Hardcover ISBN: 978-3-030-66076-5Published: 12 April 2021

  • Softcover ISBN: 978-3-030-66079-6Published: 12 April 2022

  • eBook ISBN: 978-3-030-66077-2Published: 11 April 2021

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: IX, 358

  • Number of Illustrations: 53 b/w illustrations, 68 illustrations in colour

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

Publish with us

Policies and ethics

Back to top

Search

Navigation