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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...
Autores principales: | Peruffo, Andrea, Ahmed, Daniele, Abate, Alessandro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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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 |
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