Paolo Mercorelli
Editor
Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0
Contributors
Weicun Zhang
Editor
Hamidreza Nemati Hamidreza.Nemati@uwe.ac.uk
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 |
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