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

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  • Formaat: Hardback, 672 pages, kõrgus x laius: 235x155 mm, 311 Illustrations, color; 63 Illustrations, black and white; XI, 672 p. 374 illus., 311 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 1315
  • Ilmumisaeg: 02-Mar-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819617766
  • ISBN-13: 9789819617760
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Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)Suurem pilt
  • Formaat: Hardback, 672 pages, kõrgus x laius: 235x155 mm, 311 Illustrations, color; 63 Illustrations, black and white; XI, 672 p. 374 illus., 311 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 1315
  • Ilmumisaeg: 02-Mar-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819617766
  • ISBN-13: 9789819617760
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819617760.html
Märksõnad:
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.

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.