Cyber-Physical Systems Engineering and Control

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· Studies in Systems, Decision and Control Kirja 477 · Springer Nature
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This book is devoted to the study of engineering and control technologies for the cyber-physical systems development. This book defines the approaches in the engineering leverage the exploitation of artificial intelligence and most urgent computing methods. The authors study the activities allows for the developing new and perspective concepts of robotics systems combining various machine learning methods, uncertainty explanation approaches, computer vision and unmanned aerial systems control technologies including artificial neural networks and simulation modeling by addressing a large scale of applications. The book also describes new materials engineering as well as implementation of these technologies in the different domains such as polymeric film production, polymer composition, and roller squeezing of leather, in order to realize the novel cyber-physical systems, their functionalities, and features. The authors describe the development of method for increasing the software efficiency, considering the increasing complexity of the computing systems and the importance of ensuring accuracy and velocity of modelling. The book also analyses algorithms for fuzzy models and systems, including the cyber-physical real-time systems, and non-stationary object with discrete time. The authors highlight the problem of ensuring the quality on engineering technologies for cyber-physical systems as the most important and consider different approaches to its solution.

Tietoja kirjoittajasta

Alla G. Kravets doctor of technical sciences, professor, professor of the Department of CAD&RD of the VSTU, Professor of the Department of Geoinformation Systems and Technologies of the Institute of System Analysis and Management of the University "Dubna"(Moscow region). Since 2018 Kravets A.G. is the head of the Design laboratory "Cyber-Physical Systems" in VSTU and scientific supervisor of "Bionics and neurotechnologies" startup.

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