Digital Twin for Industrial Supervision: Review of Techniques, Contributions, Limitations, and Emerging Trends in Automation
This paper investigates digital twins as key components of cyber-physical supervision architectures for industrial systems through a systematic analysis of 65 publications (2019-2026). A tripartite taxonomy physical first, data-driven, and hybrid approaches is established and evaluated using operational criteria includ...