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Springer ICMIC2024 Proceedings - Lecture Notes 1315

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Description

This volume contains original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024). Held in Datong, Shanxi, China, this collection presents the latest findings on methodologies, algorithms, and applications in the field. It serves as a comprehensive resource for researchers and professionals studying system identification, linear and nonlinear control systems, and data-driven modelling. The content covers essential topics including process control, fault diagnosis, and reliable control systems. Additionally, the book explores modern advancements in intelligent systems, machine learning, and artificial intelligence, making it a valuable addition to the Lecture Notes in Electrical Engineering series.

Key Features

Includes peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024).

Covers technical topics such as System Identification, Linear/Nonlinear Control Systems, and Data-driven Modelling and Control.

Provides detailed insights into Process Modelling, Process Control, Fault Diagnosis, and Reliable Control.

Explores modern advancements in Intelligent Systems, Machine Learning, and Artificial Intelligence.

Published by Springer as part of the Lecture Notes in Electrical Engineering, volume 1315.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 March 2025
Listed Since
21 November 2024

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