Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems

Author:

Lan Jianglin,Zhan Siyuan,Patton Ron,Zhao Xianxian

Publisher

Elsevier BV

Reference21 articles.

1. Bensalem, S. et al. (2023). What, indeed, is an achievable provable guarantee for learning-enabled safety critical systems. arXiv preprint arXiv:2307.11784.

2. Bunel, R. et al. (2020). Branch and bound for piecewise linear neural network verification. JMLR, 21(2020).

3. Run-time assurance for learning-enabled systems. In Proc. NFM;Cofer,2020

4. Activation functions in deep learning: a comprehensive survey and benchmark;Dubey;Neurocomputing,2022

5. Interval observers for time-varying discrete-time systems;Efimov;IEEE Trans. Automat. Contr.,2013

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