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Vol. 13 No. 02 (2026)
Volume 13 Issue 03

Articles

Synthesizing Generative Artificial Intelligence and Digital Twin Architectures: A Standardization-Aligned Framework for Cyber-Physical System Resilience

Published 2026-02-28

  • Diego Ramiro

Diego Ramiro
Department of Systems Engineering, University of Melbourne, Australia

Abstract

The rapid evolution of Cyber-Physical Systems (CPS) has necessitated a paradigm shift in how industrial and healthcare infrastructures are monitored, managed, and secured. As systems become increasingly interconnected through the Industrial Internet of Things (IIoT), the reliance on static monitoring models has become insufficient for addressing the dynamic, stochastic nature of modern operational environments. This research explores the integration of Generative Artificial Intelligence (GenAI) and Digital Twin (DT) ecosystems to foster unprecedented levels of fault tolerance, predictive maintenance, and operational robustness. By synthesizing current literature on mechanistic and data-driven modeling, this article proposes a comprehensive framework that aligns with emerging standardization protocols. The investigation details how sensor fusion, enhanced by generative models, allows for the creation of high-fidelity virtual replicas capable of simulating emergent behaviors that were previously unpredictable. Through an extensive theoretical exploration of formal verification, temporal logic testing, and robust validation strategies, the study addresses the critical gap between traditional control theory and the volatile, data-intensive requirements of Industry 4.0. The findings suggest that by embedding generative processes within a standardized federated fog-cloud architecture, organizations can mitigate operational risks while unlocking new tiers of business value. This research ultimately provides a roadmap for engineers and policymakers to transition toward self-aware, resilient systems that can navigate complex, multi-layered cyber-physical landscapes.

Keywords

Cyber-Physical Systems, Digital Twin, Generative AI, Sensor Fusion, Industry 4.0.

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