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Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)/ edited by Qiang Chen ... [et al.].
remainder title:	ICMIC2024
other author:	Chen, Qiang.
corporate name:	International Conference on Modelling, Identification, and Control
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xi, 672 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	System Identification -- Data-driven Modeling and Control -- Adaptive Control -- Linear/Nonlinear Control Systems -- Predictive Control -- Optimization and Optimal Control -- Process Modeling and Process Control -- Cooperative Control Systems -- Networked Control Systems -- Intelligent Systems -- Soft Computing Techniques -- Signal Processing and Information Fusion -- Fault Diagnosis and Reliable Control -- Vibration Analysis -- Noise Measuring and Control -- Condition Monitoring -- Structural Dynamics -- Pattern Recognition -- Machine Learning and Artificial Intelligence.
Contained By:	Springer Nature eBook
Subject:	Simulation methods - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-1777-7
ISBN:	9789819617777

Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)
Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)[electronic resource] /ICMIC2024edited by Qiang Chen ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xi, 672 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,13151876-1119 ;. - Lecture notes in electrical engineering ;1315..

System Identification -- Data-driven Modeling and Control -- Adaptive Control -- Linear/Nonlinear Control Systems -- Predictive Control -- Optimization and Optimal Control -- Process Modeling and Process Control -- Cooperative Control Systems -- Networked Control Systems -- Intelligent Systems -- Soft Computing Techniques -- Signal Processing and Information Fusion -- Fault Diagnosis and Reliable Control -- Vibration Analysis -- Noise Measuring and Control -- Condition Monitoring -- Structural Dynamics -- Pattern Recognition -- Machine Learning and Artificial Intelligence.

This book includes original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024), held in Datong, Shanxi, China on Aug.9-11, 2024. 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 methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.

ISBN: 9789819617777

Standard No.: 10.1007/978-981-96-1777-7doiSubjects--Topical Terms:

678546
Simulation methods
--Congresses.

LC Class. No.: T57.62

Dewey Class. No.: 003.3

Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)
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520 $a This book includes original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024), held in Datong, Shanxi, China on Aug.9-11, 2024. 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 methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.
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