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

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Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0. / Mercorelli, Paolo (Editor); Zhang, Weicun (Editor); Nemati, Hamidreza (Editor) et al.

Academic Press Inc., 2024. 450 p.

Research output: Books and anthologiesCollected editions and anthologiesResearch

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APA

Vancouver

Mercorelli P, (ed.), Zhang W, (ed.), Nemati H, (ed.), Zhang YM, (ed.). Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0. Academic Press Inc., 2024. 450 p. doi: 10.1016/C2021-0-02869-8

Bibtex

@book{c23d75d3472d42b1bdc93ef2552a08ef,
title = "Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0",
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.",
keywords = "Engineering",
editor = "Paolo Mercorelli and Weicun Zhang and Hamidreza Nemati and Zhang, {Yu Ming}",
note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Inc. All rights reserved, including those for text and data mining, AI training, and similar technologies.",
year = "2024",
month = jan,
day = "1",
doi = "10.1016/C2021-0-02869-8",
language = "English",
isbn = "9780323952088",
publisher = "Academic Press Inc.",
address = "United States",

}

RIS

TY - BOOK

T1 - Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0

A2 - Mercorelli, Paolo

A2 - Zhang, Weicun

A2 - Nemati, Hamidreza

A2 - Zhang, Yu Ming

N1 - Publisher Copyright: © 2024 Elsevier Inc. All rights reserved, including those for text and data mining, AI training, and similar technologies.

PY - 2024/1/1

Y1 - 2024/1/1

N2 - 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.

AB - 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.

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85189573080&partnerID=8YFLogxK

U2 - 10.1016/C2021-0-02869-8

DO - 10.1016/C2021-0-02869-8

M3 - Collected editions and anthologies

AN - SCOPUS:85189573080

SN - 9780323952088

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

PB - Academic Press Inc.

ER -

DOI