Advances in Automation VI
Proceedings of the International Russian Automation Conference, RusAutoCon2024, September 8–14, 2024, Sochi, Russia
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Beschreibung
This book reports on innovative research and developments in automation. Spanning a wide range of disciplines, including communication engineering, control engineering, predictive engineering and machine learning, it focuses on methods and findings aimed at improving the control and monitoring of industrial and manufacturing processes as well as their reliability. Based on the 7th International Russian Automation Conference (RusAutoCon2024), held as a hybrid conference on September 8–14, 2024, in/from Sochi, Russia, this book provides academics and professionals with a timely overview of and extensive information on the state of the art in the field of automation and control systems. It is also expected to foster new ideas and collaborations between groups in different countries.
This book reports on innovative research and developments in automation. Spanning a wide range of disciplines, including communication engineering, control engineering, predictive engineering and machine learning, it focuses on methods and findings aimed at improving the control and monitoring of industrial and manufacturing processes as well as their reliability. Based on the 7th International Russian Automation Conference (RusAutoCon2024), held as a hybrid conference on September 8–14, 2024, in/from Sochi, Russia, this book provides academics and professionals with a timely overview of and extensive information on the state of the art in the field of automation and control systems. It is also expected to foster new ideas and collaborations between groups in different countries.
Reports on novel systems for automatic control Covers applications of machine learning in trasportation and other industries Describes cutting-edge intelligent control and monitoring systems
Autor*in
Andrey A. Radionov
Themen in »Advances in Automation VI«
Reliability of Automatic Control Systems Robust Control Systems Modeling and Simulation of Industrial Processes Automated Information Systems Predictive Control System Intelligent Decision Support Systems Neural Networks Control Systems Energy Management Systems Automated Diagnostic Systems Automated Management Systems Path Planning Methods for Automated Vehicles Self-Organizing Control Systems Deep Learning Applications Computer Vision Applications