Cyber-physical systems : intelligent models and algorithms /

This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the...

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Bibliographic Details
Group Author: Kravets, Alla; Bolshakov, Alexander A.; Shcherbakov, Maxim
Published: Springer,
Publisher Address: Cham, Switzerland :
Publication Dates: [2022]
Literature type: Book
Language: English
Series: Studies in systems, decision and control, volume 417
Subjects:
Summary: This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.
Carrier Form: ix, 279 pages : illustrations (some color) ; 25 cm.
Bibliography: Includes bibliographical references.
ISBN: 9783030951153
3030951154
Index Number: TJ213
CLC: TP273
Call Number: TP273/C994-6
Contents: Bio-inspired modelling -- Fuzzy models and algorithms -- Predictive modelling -- Computer Vision and Image Processing.