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Beschreibung
This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | Februar 2021 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 388 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030379643 |
| Auflage | 1st ed. 2020 |
| Seiten | 235 |
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