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Automatic Control and Emerging Technologies de Hassan El Fadil

Automatic Control and Emerging Technologies: Lecture Notes in Electrical Engineering, cartea 1141

Editat de Hassan El Fadil, Weicun Zhang
en Limba Engleză Paperback – 31 ian 2025
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.
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Specificații

ISBN-13: 9789819701285
ISBN-10: 9819701287
Pagini: 848
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.26 kg
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Cuprins

ADRC control of an unmanned under-actuated aerial vehicle.- An optical-flow-assisted navigation method for UAVs using Sage-Husa EKF.- Critical Success Factors of Blockchain Implementation in the Automotive Supply Chain Management: Contribution through an Interpretive Structural Model.- Wireless Communication Systems Applied To Ev Wireless Charger: State of the art.- Enhancement of an electric vehicle's state of charge estimation using an extended Kalman filter.- Observer-based Controller Design for a Class of Discrete-Time Takagi-Sugeno Models: Application to One-Link Flexible Joint Robot.

Textul de pe ultima copertă

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.

Caracteristici

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