Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 Paperback / softback
Edited by Paolo (Professor (Chair), Control and Drive Systems, Institute of Product and Process In Mercorelli, Weicun (Associate Professor, School of Automation and Electrical Engineering, University of S Zhang, Hamidreza (Lecturer, Avionics and Control, Engineering Design and Mathematics Department, Un Nemati, YuMing (Professor, University of Kentucky, Lexington, Kentucky, USA) Zhang
Part of the Emerging Methodologies and Applications in Modelling, Identification and Control series
Paperback / softback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:484 pages
- Publisher:Elsevier Science & Technology
- Publication Date:11/01/2024
- Category:
- ISBN:9780323952071
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:484 pages
- Publisher:Elsevier Science & Technology
- Publication Date:11/01/2024
- Category:
- ISBN:9780323952071