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Record Nr. |
UNINA9910984588303321 |
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Autore |
Chen Qiang |
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Titolo |
Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024) / / edited by Qiang Chen, Tingli Su, Peng Liu, Weicun Zhang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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9789819617777 |
9789819617760 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (1017 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1315 |
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Altri autori (Persone) |
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SuTingli |
LiuPeng |
ZhangWeicun |
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Disciplina |
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Soggetti |
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Automatic control |
Computational intelligence |
Robotics |
Automation |
Artificial intelligence |
System theory |
Electric power production |
Control and Systems Theory |
Computational Intelligence |
Control, Robotics, Automation |
Artificial Intelligence |
Complex Systems |
Electrical Power Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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-- 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. |
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Sommario/riassunto |
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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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