Overview
- Applicable bench testscross virtually all involved engineering domains and appeal to broad & diverse readership
- Covers range of emerging topics in modelling, identification & control, integrated with AI, machine/deep learning
- Integrated applicable approaches to provide simplicity in solutions to cope with complexity in problems
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1141)
Included in the following conference series:
Conference proceedings info: ACET 2023.
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About this book
This book contains the original, peer-reviewed research papers from the International Symposium on Automatic Control and Emerging Technologies, held in Kenitra, Morrocco, on July 11-13, 2023. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.
The papers showcased here share the latest findings on topics with potential for academic research and industrial applications, making the book a valuable resource for researchers, engineers, and university students alike.
Keywords
Table of contents (72 papers)
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Automatic Control and Emerging Technologies
Editors and Affiliations
Bibliographic Information
Book Title: Automatic Control and Emerging Technologies
Book Subtitle: Proceedings of ACET 2023
Editors: Hassan El Fadil, Weicun Zhang
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-97-0126-1
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-97-0125-4Published: 30 January 2024
Softcover ISBN: 978-981-97-0128-5Due: 12 February 2025
eBook ISBN: 978-981-97-0126-1Published: 29 January 2024
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 833
Number of Illustrations: 87 b/w illustrations, 459 illustrations in colour
Topics: Control, Robotics, Mechatronics, Computational Intelligence, Artificial Intelligence