Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.
1. Chapter 1: Introduction - p. 1 2. Part I: CPS foundation and application - p. 6 3. Introduction - p. 7 4. Chapter 2: CPS foundation and principles - p. 9 5. Chapter 3: Representative CPS application domains - p. 35 6. Part II: When machine learning meets edge computing: edge intelligence in CPS - p. 67 7. Introduction - p. 69 8. Chapter 4: Machine learning in cyber-physical systems - p. 71 9. Chapter 5: Edge computing in CPS - p. 101 10. Chapter 6: Edge intelligence in CPS - p. 141 11. Part III: Application of edge intelligence in CPS - p. 164 12. Introduction - p. 165 13. Chapter 7: Edge intelligence in smart energy CPS - p. 169 14. Chapter 8: Edge intelligence in smart transportation CPS - p. 193 15. Chapter 9: Edge intelligence in smart manufacturing CPS - p. 221 16. Chapter 10: Edge intelligence in smart home CPS - p. 247 17. Chapter 11: Edge intelligence in smart agriculture CPS - p. 265 18. Part IV: Secured edge intelligence in CPS - p. 291 19. Introduction - p. 293 20. Chapter 12: Foundation of secured edge intelligence in CPS - p. 297 21. Chapter 13: Secured edge intelligence in smart energy CPS - p. 325 22. Chapter 14: Secured edge intelligence in smart transportation CPS - p. 353 23. Chapter 15: Secured edge intelligence in smart manufacturing CPS - p. 377 24. Chapter 16: Secured edge intelligence in smart home CPS - p. 403 25. Chapter 17: Secured edge intelligence in smart agriculture CPS - p. 431 26. Chapter 18: Final remarks - p. 453 27. Index - p. 455
Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.
1. Chapter 1: Introduction - p. 1 2. Part I: CPS foundation and application - p. 6 3. Introduction - p. 7 4. Chapter 2: CPS foundation and principles - p. 9 5. Chapter 3: Representative CPS application domains - p. 35 6. Part II: When machine learning meets edge computing: edge intelligence in CPS - p. 67 7. Introduction - p. 69 8. Chapter 4: Machine learning in cyber-physical systems - p. 71 9. Chapter 5: Edge computing in CPS - p. 101 10. Chapter 6: Edge intelligence in CPS - p. 141 11. Part III: Application of edge intelligence in CPS - p. 164 12. Introduction - p. 165 13. Chapter 7: Edge intelligence in smart energy CPS - p. 169 14. Chapter 8: Edge intelligence in smart transportation CPS - p. 193 15. Chapter 9: Edge intelligence in smart manufacturing CPS - p. 221 16. Chapter 10: Edge intelligence in smart home CPS - p. 247 17. Chapter 11: Edge intelligence in smart agriculture CPS - p. 265 18. Part IV: Secured edge intelligence in CPS - p. 291 19. Introduction - p. 293 20. Chapter 12: Foundation of secured edge intelligence in CPS - p. 297 21. Chapter 13: Secured edge intelligence in smart energy CPS - p. 325 22. Chapter 14: Secured edge intelligence in smart transportation CPS - p. 353 23. Chapter 15: Secured edge intelligence in smart manufacturing CPS - p. 377 24. Chapter 16: Secured edge intelligence in smart home CPS - p. 403 25. Chapter 17: Secured edge intelligence in smart agriculture CPS - p. 431 26. Chapter 18: Final remarks - p. 453 27. Index - p. 455
