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Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (Paperback) Loot Price: R3,107
Discovery Miles 31 070
Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (Paperback): Paolo Mercorelli, Weicun...

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

Paolo Mercorelli, Weicun Zhang, Hamidreza Nemati, YuMing Zhang

Series: Emerging Methodologies and Applications in Modelling, Identification and Control

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Loot Price R3,107 Discovery Miles 31 070 | Repayment Terms: R291 pm x 12*

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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.

General

Imprint: Academic Press Inc
Country of origin: United Kingdom
Series: Emerging Methodologies and Applications in Modelling, Identification and Control
Release date: November 2023
First published: 2024
Editors: Paolo Mercorelli • Weicun Zhang • Hamidreza Nemati • YuMing Zhang
Dimensions: 229 x 152mm (L x W)
Format: Paperback
Pages: 450
ISBN-13: 978-0-323-95207-1
Categories: Books
LSN: 0-323-95207-0
Barcode: 9780323952071

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