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    Learning safe neural network controllers with barrier certificates

    Zhao, H. and Zeng, X. and Chen, Taolue and Liu, Z. and Woodcock, J. (2021) Learning safe neural network controllers with barrier certificates. Formal Aspects of Computing 33 (3), pp. 437-455. ISSN 0934-5043.

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    Abstract

    We provide a new approach to synthesize controllers for nonlinear continuous dynamical systems with control against safety properties. The controllers are based on neural networks (NNs). To certify the safety property we utilize barrier functions, which are represented by NNs as well. We train the controller-NN and barrier-NN simultaneously, achieving a verification-in-the-loop synthesis. We provide a prototype tool nncontroller with a number of case studies. The experiment results confirm the feasibility and efficacy of our approach.

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Taolue Chen
    Date Deposited: 13 Jun 2022 13:37
    Last Modified: 09 Aug 2023 12:53
    URI: https://eprints.bbk.ac.uk/id/eprint/48301

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