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

Research output: Books and anthologies › Collected editions and anthologies › Research

Standard

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 anthologies › Collected editions and anthologies › Research

Harvard

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

APA

Mercorelli, P., Zhang, W., Nemati, H., & Zhang, Y. M. (Eds.) (2024). Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0. Academic Press Inc. https://doi.org/10.1016/C2021-0-02869-8

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

UR - https://www.mendeley.com/catalogue/92c7d5dd-b471-39de-b684-6bfa40eaf6fd/

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 -

Other publications by the same author(s)

Advancing Sustainability and Productivity: The Role of Precision Agriculture in Vineyards and Olive Groves

Fernandes, F. M., Dos Santos, M. F., De Morais, M. H. F., Lima, J., Pereira, A. I. & Mercorelli, P., 2025, Proceedings of the 2025 26th International Carpathian Control Conference (ICCC): Grandhotel Starý Smokovec, High Tatras, Starý Smokovec, Slovak Republic, 19-21 May 2025. Kacur, J., Skovranek, T., Laciak, M. & Mojzisova, A. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., 6 p. (International Carpathian Control Conference, ICCC; vol. 26).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

A Fluid Elastomeric Actuator Design for Soft Robots

Els, D., van Niekerk, T., Mercorelli, P. & Welgemoed, J., 09.2025, In: Actuators. 14, 9, 14 p., 417.

Research output: Journal contributions › Journal articles › Research › peer-review

An innovative efficiency of incubator to enhance organization supportive business using machine learning approach

Li, X., Zhang, Q., Gu, H., Othmen, S., Asklany, S., Lhioui, C., Elrashidi, A. & Mercorelli, P., 07.2025, In: PLoS ONE. 20, 7, 22 p., e0327249.

Research output: Journal contributions › Journal articles › Research › peer-review

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control

Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

Research output: Journal contributions › Journal articles › Research › peer-review

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

Research output: Journal contributions › Journal articles › Research › peer-review

DOI

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