This paper investigates Kolmogorov-Arnold Networks (KANs) as parametrisations of learned nonlinear state-space models in control-relevant settings. We ask whether replacing standard MLP maps with KAN-based ones yields a useful trade-off between predictive accuracy and deployability-oriented properties such as compactne...
Daniele Masti, Alberto Petrucci, D. Grande et al.· ISA transactions· 0 citations
The results show that CoCoS supports the conservative bounding of regression scopes while preserving compliance-oriented reasoning and providing practical evidence for test planning in safety-critical environments.
Francesco Basciani, Daniele Masti, Patrizio Pelliccione et al.· Proceedings of the 41st IEEE...· 0 citations
ClouDens is proposed, an anomaly detection framework tailored to LCS monitoring that leverages operational-context attributes encoded in the telemetry log schema to improve detection accuracy and early identification of anomalies.
Thu T. H. Doan, Mohammad Saiful Islam, Andriy V. Miranskyy et al.· arXiv.org· 0 citations
This analysis shows that the modularity, flexibility, and reactivity of classical BTs are insufficient for adaptation needs involving runtime restructuring, reasoning under uncertainty, mission reinterpretation, learning, or integration with external knowledge and planning mechanisms.
