A Koopman-generator framework jointly learns an unknown continuous-time vector field and a Lyapunov function, then formally verifies a less conservative region of attraction using an SMT solver.
Tool LyZNet: A lightweight Python tool for learning and verifying neural Lyapunov functions and regions of attraction
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Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
A Koopman-generator framework jointly learns an unknown continuous-time vector field and a Lyapunov function, then formally verifies a less conservative region of attraction using an SMT solver.