In the world of Cyber-Physical Systems (CPS), a captivating real-time fusion occurs where digital technology meets the physical world. This synergy has been significantly transformed by the integration of artificial intelligence (AI), a move that dramatically enhances system adaptability and introduces a layer of complexity that impacts CPS control optimization and reliability. Despite advancements in AI integration, a significant gap remains in understanding how this shift affects CPS architecture, operational complexity, and verification practices. The extended abstract addresses this gap by investigating architectural distinctions between AI-driven and traditional control models designed in Simulink and their respective implications for system verification.
@article{arxiv.2510.00519,
title = {Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems},
author = {Hadiza Umar Yusuf and Khouloud Gaaloul},
journal= {arXiv preprint arXiv:2510.00519},
year = {2025}
}