UID:
almahu_9948219202102882
Format:
XV, 1387 p. 678 illus., 471 illus. in color.
,
online resource.
Edition:
1st ed. 2020.
ISBN:
9789811504747
Series Statement:
Lecture Notes in Electrical Engineering, 582
Content:
This book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. 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 a valuable asset for researchers, engineers, and university students alike. .
Note:
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.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9789811504730
Additional Edition:
Printed edition: ISBN 9789811504754
Additional Edition:
Printed edition: ISBN 9789811504761
Language:
English
DOI:
10.1007/978-981-15-0474-7
URL:
https://doi.org/10.1007/978-981-15-0474-7
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