A PINN approach learns nearly maximal Lyapunov functions via Zubov's equation and verifies stability with SMT solvers.
Data-driven computational methods for the domain of attraction and zubov’s equation
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Towards Learning and Verifying Maximal Neural Lyapunov Functions
A PINN approach learns nearly maximal Lyapunov functions via Zubov's equation and verifies stability with SMT solvers.