Cyber-Physical Systems: Modelling and Industrial Application

This book explores the modeling of cyber-physical systems and their applications in various industries, highlighting the need for new approaches to improve competitiveness. It covers topics such as modeling, IoT, signal processing, intelligent control, industrial implementation, and the production of new materials. The target audience includes practitioners, enterprises, scientists, and students.

Format: Hardback
Length: 347 pages
Publication date: 29 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the intricate realm of modelling cyber-physical systems and their diverse applications across various industries. Recognizing the pressing need for innovation and competitiveness, the industry seeks novel approaches to enhance its performance. Cyber-physical systems, as a transformative concept, hold the key to these necessary changes, emphasizing the urgent requirement for developing new modelling tools. Spanning five comprehensive sections, the book explores in depth the following topics:

Cyber-Physical Systems Modelling: This section delves into the theoretical foundations and methodologies for modelling cyber-physical systems, encompassing their dynamic behaviour, interactions, and control. It encompasses a wide range of modelling techniques, such as agent-based modelling, system dynamics, and hybrid modelling, to capture the complex nature of these systems.

Internet of Things (IoT) and Signal Processing: Recognizing the immense potential of IoT devices and their integration with cyber-physical systems, this section explores the role of signal processing in capturing, processing, and analysing data from these interconnected devices. It discusses techniques for data compression, data fusion, and pattern recognition, enabling efficient management and analysis of massive amounts of IoT data.

Cyber-Physical Systems Intelligent Control: This section focuses on developing intelligent control strategies for cyber-physical systems, leveraging advanced algorithms and machine learning techniques to optimize their performance and respond to changing conditions. It explores techniques for predictive control, adaptive control, and decision-making, ensuring efficient and reliable operation of these systems.

Cyber-Physical Systems Industrial Implementation: This section examines the practical challenges and considerations involved in implementing cyber-physical systems in real-world industrial environments. It covers topics such as system integration, hardware and software design, and cybersecurity, ensuring the seamless integration of cyber-physical systems into industrial processes.

Production of New Material for Cyber-Physical Systems: Recognizing the importance of innovative materials in advancing cyber-physical systems, this section explores the development of new materials with specific properties and characteristics that enhance the performance and reliability of these systems. It discusses materials such as nanomaterials, composites, and smart materials, enabling the creation of advanced cyber-physical systems.

The target audience of this book encompasses a wide range of practitioners, enterprise representatives, scientists, PhD and Master students engaged in scientific research on modelling and industrial application of cyber-physical systems. By providing a comprehensive and interdisciplinary perspective, the book equips readers with the knowledge and tools necessary to navigate the complex landscape of cyber-physical systems and drive innovation in their respective fields.

Weight: 705g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030951191
Edition number: 1st ed. 2022