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Automated and Formal Synthesis of Neural Barrier Certificates for Dynamical Models

We introduce an automated, formal, counterexample-based approach to synthesise Barrier Certificates (BC) for the safety verification of continuous and hybrid dynamical models. The approach is underpinned by an inductive framework: this is structured as a sequential loop between a learner, which mani...

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Detalles Bibliográficos
Autores principales: Peruffo, Andrea, Ahmed, Daniele, Abate, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979189/
http://dx.doi.org/10.1007/978-3-030-72016-2_20