Kravets / Bolshakov / Shcherbakov Cyber-Physical Systems: Industry 4.0 Challenges

1. Auflage 2019
ISBN: 978-3-030-32648-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 340 Seiten

Reihe: Studies in Systems, Decision and Control

This book presents new findings in industrial cyber-physical system design and control for various domains, as well as their social and economic impacts on society. Industry 4.0 requires new approaches in the context of secure connections, control, and maintenance of cyber-physical systems as well as enhancing their interaction with humans. The book focuses on open issues of cyber-physical system control and its usage, discussing implemented breakthrough systems, models, programs, and methods that could be used in industrial processes for the control, condition assessment, diagnostics, prognostication, and proactive maintenance of cyber-physical systems. Further, it addresses the topic of ensuring the cybersecurity of industrial cyber-physical systems and proposes new, reliable solutions. The authors also examine the impact of university courses on the performance of industrial complexes, and the organization of education for the development of cyber-physical systems. The book is intended for practitioners, enterprise representatives, scientists, students, and Ph.D. and master’s students conducting research in the area of cyber-physical system development and implementation in various domains.

Zielgruppe

Research

Autoren/Hrsg.

Kravets, Alla G.

Bolshakov, Alexander A.

Shcherbakov, Maxim V.

Inhaltsverzeichnis

IoT for Industrial Cyber-Physical Systems.- Efficient Computational Procedure for the Alternance Method of Optimizing the Temperature Regimes of Structures of Autonomous Objects.- Cyber-Physical Systems Intelligent Control.- On systemological approach to intelligent decision-making support in industrial cyber-physical systems.- Industrial Cybersecurity.- The system for operational monitoring and analytics of industry cyber-physical systems security in fuel and energy domains based on anomaly detection and prediction methods.- Engineering Education for Cyber-Physical Systems Development.- Building an knowledge base of a company based on the analysis of employee's behavior.