Towards Learning and Verifying Maximal Neural Lyapunov Functions
Author:
Affiliation:
1. University of Waterloo,Faculty of Mathematics,Department of Applied Mathematics,Waterloo,Ontario,Canada,N2L 3G1
Funder
NSERC
Digital Research Alliance of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383299.pdf?arnumber=10383299
Reference21 articles.
1. Dynamical Systems: Stability Theory and Applications
2. Neural Lyapunov control;Chang;NeurIPS,2019
3. Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control
4. dReal: An SMT Solver for Nonlinear Theories over the Reals
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