Enables readers to understand the concept of digital twins from an engineering perspective

Digital Twin technology is revolutionizing how we represent and interact with physical systems in the digital realm. Guided by a central question can we derive valuable insights and system behavior from observational data? The Foundation for Digital Twins bridges data-driven and model-based approaches to reveal how Digital Twin solutions can truly reflect the complexity of real-world environments and be effective tools to control how systems behave.

From modular software design and real-time data analysis to the growing role of artificial intelligence, this book shows us how to build scalable, adaptive Digital Twin architectures. Combining theory with practical strategies and use cases, it s essential reading for researchers, developers, and practitioners shaping the next generation of digital systems.