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Smooth Converse Lyapunov-Barrier Theorems for Asymptotic Stability with Safety Constraints and Reach-Avoid-Stay Specifications., , , and . CoRR, (2020)Hopf Bifurcations of Moore-Greitzer PDE Model with Additive Noise., , and . J. Nonlinear Sci., 33 (5): 74 (October 2023)Smooth converse Lyapunov-barrier theorems for asymptotic stability with safety constraints and reach-avoid-stay specifications., , , and . Autom., (2022)Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control., , , , and . ECC, page 1459-1464. IEEE, (2021)Towards Learning and Verifying Maximal Neural Lyapunov Functions., , , and . CDC, page 8012-8019. IEEE, (2023)LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction., , , and . CoRR, (2024)Compositionally Verifiable Vector Neural Lyapunov Functions for Stability Analysis of Interconnected Nonlinear Systems., , , and . CoRR, (2024)Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification., , , , , and . CoRR, (2024)Sufficient Conditions for Robust Probabilistic Reach-Avoid-Stay Specifications using Stochastic Lyapunov-Barrier Functions., and . ACC, page 2283-2288. IEEE, (2022)Control of Nonlinear Systems with Reach-Avoid-Stay Specifications: A Lyapunov-Barrier Approach with an Application to the Moore-Greizer Model., , and . ACC, page 2284-2291. IEEE, (2021)