Simultaneous Synthesis and Verification of Neural Control Barrier Functions Through Branch-and-Bound Verification-in-the-Loop Training
Author:
Affiliation:
1. Delft University of Technology,Cognitive Robotics Department,Delft,Netherlands,2628CD
2. Delft Center for Systems and Control, Delft University of Technology,Delft,Netherlands,2628CD
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591251.pdf?arnumber=10591251
Reference30 articles.
1. Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control
2. Safe nonlinear control using robust neural lyapunov-barrier functions;Dawson,2022
3. Learning a Better Control Barrier Function
4. Robust Control Barrier–Value Functions for Safety-Critical Control
5. Automated and Formal Synthesis of Neural Barrier Certificates for Dynamical Models
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