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Springer ICMIC2025 Proceedings - Volume I (Lecture Notes)

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Description

This volume contains original, peer-reviewed research papers from the 17th International Conference on Modelling, Identification and Control (ICMIC2025). Held in Qingdao, Shandong, China, the conference presented the latest findings in control systems and engineering methodologies. Readers will find detailed research on system identification, linear and nonlinear control systems, and data-driven modelling. The text also covers process modelling, process control, fault diagnosis, and reliable control. For those working in advanced computing, the collection includes significant work on intelligent systems, machine learning, and artificial intelligence. This Springer publication serves as a technical resource for researchers and professionals staying updated on modern algorithms and applications in the field.

Key Features

This Springer publication includes peer-reviewed research from the 17th International Conference on Modelling, Identification and Control (ICMIC2025).

The text covers technical topics such as system identification, linear/nonlinear control systems, and data-driven modelling and control.

Research papers within this volume address process modelling, process control, fault diagnosis, and reliable control methodologies.

Content includes recent findings in intelligent systems, machine learning, and artificial intelligence for engineering applications.

This work is part of the Lecture Notes in Electrical Engineering series, specifically Volume 1495.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 February 2026
Listed Since
04 September 2025

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