Editors:
- Considers open questions in cyber-physical systems modeling and intelligent control including both theoretical and practical aspects
- Extends fundamental control theory methods and methodologies as well as approaches based on data collecting and intelligent data processing
- Describes the advanced intelligent control approaches and its applicability for complex systems like drilling systems, intelligent robots for emergency response, harvesting robots, and diesel engine
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 338)
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Table of contents (28 chapters)
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Front Matter
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Cyber-Physical Systems Modeling
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Front Matter
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Cyber-Physical Systems Intelligent Control
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Front Matter
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Modelling and Intelligent Control for Space Exploration
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Front Matter
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About this book
Given its scope, the book offers an excellent reference book for researchers and other readers in the fields of cyber-physical systems modelling and intelligent control, space exploration and practical implementation of cyber-physical systems. The book also benefits researchers and practitioners in artificial intelligence and machine learning, as described results can be applied in cyber-physical systems design and cost-effectively maintenance. The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Cyber-Physical Systems projects.
Editors and Affiliations
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Volgograd State Technical University, Volgograd, Russia
Alla G. Kravets, Maxim Shcherbakov
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Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
Alexander A. Bolshakov
Bibliographic Information
Book Title: Cyber-Physical Systems: Modelling and Intelligent Control
Editors: Alla G. Kravets, Alexander A. Bolshakov, Maxim Shcherbakov
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-66077-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-66076-5Published: 12 April 2021
Softcover ISBN: 978-3-030-66079-6Published: 12 April 2022
eBook ISBN: 978-3-030-66077-2Published: 11 April 2021
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: IX, 358
Number of Illustrations: 53 b/w illustrations, 68 illustrations in colour
Topics: Cyber-physical systems, IoT, Computational Intelligence, Data Engineering