Buch, Englisch, 672 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1178 g
Buch, Englisch, 672 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1178 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-961776-0
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
Weitere Infos & Material
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.
