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Automatic Control and Emerging Technologies: Proceedings of ACET 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 833 pages, kõrgus x laius: 235x155 mm, 459 Illustrations, color; 87 Illustrations, black and white; XII, 833 p. 546 illus., 459 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Electrical Engineering 1141
  • Ilmumisaeg: 31-Jan-2025
  • Kirjastus: Springer Nature
  • ISBN-10: 9819701287
  • ISBN-13: 9789819701285
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  • Pehme köide
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  • Formaat: Paperback / softback, 833 pages, kõrgus x laius: 235x155 mm, 459 Illustrations, color; 87 Illustrations, black and white; XII, 833 p. 546 illus., 459 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Electrical Engineering 1141
  • Ilmumisaeg: 31-Jan-2025
  • Kirjastus: Springer Nature
  • ISBN-10: 9819701287
  • ISBN-13: 9789819701285
Teised raamatud teemal:

This book contains the original, peer-reviewed research papers from the International Symposium on Automatic Control and Emerging Technologies, held in Kenitra, Morrocco, on July 11-13, 2023. 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 topics with potential for academic research and industrial applications, making the book a valuable resource for researchers, engineers, and university students alike.

ADRC control of an unmanned under-actuated aerial vehicle.- An
optical-flow-assisted navigation method for UAVs using Sage-Husa
EKF.- Critical Success Factors of Blockchain Implementation in the Automotive
Supply Chain Management: Contribution through an Interpretive Structural
Model.- Wireless Communication Systems Applied To Ev Wireless Charger: State
of the art.- Enhancement of an electric vehicle's state of charge estimation
using an extended Kalman filter.- Observer-based Controller Design for a
Class of Discrete-Time Takagi-Sugeno Models: Application to One-Link Flexible
Joint Robot.