Details
Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)
Lecture Notes in Electrical Engineering, Band 582
362,73 € |
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Verlag: | Springer |
Format: | |
Veröffentl.: | 03.12.2019 |
ISBN/EAN: | 9789811504747 |
Sprache: | englisch |
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Beschreibungen
<div>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.</div><div>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. </div><div><br></div><div><br></div>
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.<div><br></div>
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<div>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.</div><div>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. </div><div><br></div>
Presents the proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) Covers a range of emerging topics in modelling, identification, and control, integrated with Artificial Intelligence (AI) Applicable across virtually all engineering domains, it will appeal to a broad and diverse readership