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Titel:

ARCH-COMP25 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Diego Manzanas Lopez, Matthias Althoff, Luis Benet, Samuel Coogan, Marcelo Forets, Akash Harapanahalli, Taylor T. Johnson, Tobias Ladner, Christian Schilling, Huan Zhang and Xiangru Zhong
Abstract:
This report presents the results of a friendly competition for formal verification of continuous and hybrid systems with artificial intelligence (AI) components. Specifically, machine learning (ML) components in cyber-physical systems (CPS), such as feedforward neural networks used as feedback controllers in closed-loop systems, are considered, which is a class of systems classically known as intelligent control systems, or in more modern and specific terms, neural network control systems (NNCS)...     »
Kongress- / Buchtitel:
Proceedings of 12th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH)
Jahr:
2025
Volltext / DOI:
doi:10.29007/9vg6
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