Digital Twins

Core Principles and AI Integration
Erscheinungsjahr 2026
ISBN: 978-0-443-45573-5
Verlag: Elsevier Science

Buch, Englisch, 394 Seiten, Format (B × H): 214 mm x 277 mm, Gewicht: 975 g

Digital Twins: Core Principles and AI Integration offers a structured and up-to-date overview of digital twin technology, combining foundational principles with the rapidly growing role of artificial intelligence (AI). This book introduces the core concepts, modeling approaches, and software and systems engineering foundations needed to design and implement digital twins effectively. It then explores architectural methods, lifecycle management, interoperability, and the alignment between physical systems and their digital representations. A central part of this book focuses on data science and AI-enabled digital twins, demonstrating how machine learning, deep learning, generative AI, and autonomous agents enhance predictive analytics, optimization, anomaly detection, and automated decision-making. Integration with Internet of Things (IoT), cloud–edge infrastructures, big data analytics, and XR technologies further shows how intelligent digital twins evolve into adaptive and interactive systems. Real-world applications from manufacturing, agriculture, food systems, energy, mobility, healthcare, and urban environments illustrate the practical value of AI-driven digital twins. This book concludes with key challenges and future directions, including trustworthy AI, security, data governance, and the scaling of digital twin ecosystems.

Autoren/Hrsg.

Tekinerdogan, Bedir

Verdouw, Cor

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Technik Allgemein Systems Engineering

Inhaltsverzeichnis

PART I: Introduction and foundations of digital twins
1. Introduction
2. Modeling artificial intelligence integration in digital twins: a systematic survey
3. Autonomous digital twins: foundations, challenges, and future directions

PART II: AI integration in digital twins
4. System engineering and artificial intelligence integration principles of digital-twins for tactical edge environments
5. Artificial intelligence-augmented digital twins: a comparative study of machine learning and large language model integration in smart systems
6. Enhancing Internet of Things security through artificial intelligence and digital twins
7. Digital twins for artificial intelligencebased simulation of upcoming payment trends
8. Optimizing agricultural sustainability: integrating the power of digital twin and artificial intelligence for renewable energy management
9. Towards intelligent immersive systems: the convergence of digital twins, extended reality, and artificial intelligence
10. Cloud-native digital twins for enhanced autonomous vehicle safety

PART III: Software and systems engineering
11. Enhancing automation and manufacturing with digital twin systems
12. Exploring the concept and use of organizational digital twin
13. Data clumps as structural indicators in digital twin software: a static analysis perspective
14. Intent-based unmanned aerial vehicle control: enabling unmanned aerial vehicle autonomy through large language model-based digital twin control
15. DevOps for and by digital twins leveraging virtual replicas in continuous software engineering

PART IV: Application domains
16. Digital twin underwater game engine environment for generating deep learning fish detection datasets
17. Toward digital twins in the petroleum industry: opportunities and challenges
18. The digital twin revolution: optimizing healthcare built environments for safety, efficiency, and resiliency
19. Reducing errors in disaster management data with digital-twin architecture
20. Digital twins for disaster management: mitigating structural obstacles in the response pipeline
21. Digital twin-based reference architecture for smart greenhouses

Über Autor(innen)

Tekinerdogan, Bedir
Dr. Bedir Tekinerdogan is a full professor and chair of the Information Technology group at Wageningen University in The Netherlands. He received his MSc degree (1994) and a PhD degree (2000) in Computer Science, both from the University of Twente, The Netherlands. From 2003 until 2008 he was a faculty member at University of Twente, after which he joined Bilkent University until 2015. He has more than 20 years of experience in software engineering research and education. His main research includes the engineering of smart software-intensive systems. In particular, he has focused on and is interested in software architecture design, software product line engineering, model-driven development, parallel computing, cloud computing and system of systems engineering. He has been active in dozens of national and international research and consultancy projects with various large software companies whereby he has worked as a principal researcher and leading software/system architect. He has developed and taught more than 15 different academic software engineering courses and has provided software engineering courses to more than 50 companies in The Netherlands, Germany and Turkey.

Verdouw, Cor
Dr. Cor Verdouw is a senior scientist at Wageningen University & Research in The Netherlands. He holds a degree in Business Economics from Erasmus University Rotterdam and received his Ph.D. from Wageningen University. His research focusses on key areas such as business informatics, agri-food chains and digital innovation. He has over 20 years of experience in research and education within this field. He has extensive expertise in coordinating national and European research and innovation projects across diverse agri-food sectors. In addition to his academic work, he has gained industry experience as a business consultant and as an innovation manager at a horticulture-focused software company.