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Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0

Contributors

Paolo Mercorelli
Editor

Weicun Zhang
Editor

YuMing Zhang
Editor

Abstract

Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing and related industries and value creation processes. This book focuses on the conception and implementation of intelligent algorithms. It will help readers who work on sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies.

Cyber-Physical Systems are network components that coordinate physical actions with each other. These autonomous systems perceive their surroundings using virtual sensors and actively influence them via virtual actuators. Adaptable and continuously evolving, these systems free up skilled workers to perform complex tasks, avoiding productivity loss and re-work.

Book Type Edited Book
Publication Date 2024
Deposit Date Feb 24, 2024
Publisher Elsevier
Series Title Emerging Methodologies and Applications in Modelling, Identification and Control
ISBN 9780323952071
DOI https://doi.org/10.1016/c2021-0-02869-8
Keywords Cyber-Physical Systems; Industry 4.0
Public URL https://uwe-repository.worktribe.com/output/11745135
Publisher URL https://www.sciencedirect.com/book/9780323952071/modeling-identification-and-control-for-cyber-physical-systems-towards-industry-4-0?via=ihub=#book-description