Overview
- Presents latest achievements in the field of theory and practice of information processing in the CNS SEMS
- Provides current development of methods and algorithms for recognition, identification and modeling
- Shows results on the principles of bionics, adaptivity, intelligence and parallelism in information processing/computing
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 419)
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Table of contents (20 chapters)
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Front Matter
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Methods and Systems of Recognition and Identification
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Front Matter
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Mathematical and Computer Modeling
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Front Matter
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Measurement Systems to Identify the Simulation of the Selection Environment
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Front Matter
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Sensors and Auxiliary SEMS Systems
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Front Matter
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Keywords
About this book
This book presents the latest achievements in the field of theory and practice of information processing in the CNS SEMS. Recently, the task of integrating computer technologies, transmitting and storing information, monitoring and controlling objects of the physical world has become urgent. This capability is provided by Smart Electromechanical Systems (SEMS) used in Cyber-Physical Systems (CPhS). The main tasks in the field of theory and practice of SEMS are to ensure the efficiency, reliability and safety of functioning in real time. The task of obtaining reliable information about the selection environment, as well as object recognition and identification, is especially important when several SEMS interact in a group. Since in this case, it is necessary to ensure the safety and speed of the planned behavior of all members of the group.
The purpose of the publication is to familiarize with the latest achievements of scientists of the Russian Academy of Sciences and leading universities of Russia in the field of theory and practice of information processing in the CNS of EMS, as well as to familiarize with the development of methods and algorithms for recognition, identification and modeling based on the principles of bionics, adaptivity, intelligence and parallelism in information processing and computing.
Topics of primary interest include, but are not limited to the following:
- Methods and systems of recognition and identification;
- Mathematical and computer modeling;
- Measurement systems to identify the simulation of the selection environment;
- Sensors and auxiliary SEMS systems.
This book is intended for students, scientists and engineers specializing in smart electromechanical systems and robotics.
Editors and Affiliations
Bibliographic Information
Book Title: Smart Electromechanical Systems
Book Subtitle: Recognition, Identification, Modeling, Measurement Systems, Sensors
Editors: Andrey E. Gorodetskiy, Irina L. Tarasova
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-97004-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-97003-1Published: 13 April 2022
Softcover ISBN: 978-3-030-97006-2Published: 15 April 2023
eBook ISBN: 978-3-030-97004-8Published: 12 April 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: IX, 275
Number of Illustrations: 40 b/w illustrations, 82 illustrations in colour
Topics: Control and Systems Theory, Cyber-physical systems, IoT, Computational Intelligence