Download PDFOpen PDF in browserARCH-COMP26 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants46 pages•Published: July 3, 2026AbstractThis 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). We broadly refer to this category as AI and NNCS (AINNCS). The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2026. In this edition of the AINNCS category at ARCH-COMP, four tools have been applied to solve 12 benchmarks, which are CORA, CROWN-Reach, immrax, and JuliaReach.Keyphrases: cyber physical systems, neural network control systems, verification In: Goran Frehse, Matthias Althoff and Luca Geretti (editors). Proceedings of 13th Int. Workshop on Applied Verification for Continuous and Hybrid Systems, vol 110, pages 85-130.
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