Overview

Lyapunov stability asks whether a system’s behavior stays bounded near an equilibrium or converges toward it, a central concern in control, learning, and physical modeling. Researchers construct Lyapunov functions and use tools such as linear matrix inequalities, integral quadratic constraints, and Foster–Lyapunov drift conditions to certify stability in deterministic, stochastic, and learned systems. Neural networks, reinforcement-learning controllers, optimization algorithms, and sampling-based controllers are increasingly designed or analyzed with these certificates, often alongside benchmarks in robotics and nonlinear control. A key challenge is balancing guarantees that are rigorous and computable with ones that are not overly conservative, especially when stability is only local, noise or approximation errors persist, or systems have multiple attractors.

Latest papers

CardsList

23 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. Length-Independent Stability and L2L_2-Gain Certificates for Chains of Delayed Neural Modules

    Oct 18, 2026Ömer Faruk İşcanlıNeural Network StabilityModular Neural Networks

  2. Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria

    Oct 1, 2026Simon Heilig, Jens Püttschneider, Mohammad Itani +2Dynamical SystemsLyapunov Stability

  3. Neural ODEs Meet Concurrent Learning: Stable Online Learning with Lyapunov Guarantees

    Sep 26, 2026Omkar Sudhir PatilNeural ODEsNeural Network Training Dynamics

  4. Learning Provable Neural Network Observer for Uncertain Dynamical Systems

    Sep 25, 2026Zhangyi Wang, Jiaxu Liu, Song Chen +2Neural Network StabilityLyapunov Stability

  5. Learning Lyapunov Operators for Nonlinear Systems

    Sep 16, 2026Amartya Mukherjee, Maxwell Fitzsimmons, David C. Del Rey Fernández +1Dynamical SystemsLyapunov Stability

  6. Beyond the Edge of Chaos: Stability-Expressivity Transfer in Reservoir Forecasting

    Jul 20, 2026Yao Du, Xingang WangLyapunov StabilityReservoir Computing

  7. Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing

    Jul 9, 2026Hyung-Jin Yoon, Hunmin KimLyapunov StabilityStochastic Approximation

  8. Finite-Sample Closed-Loop Stability of Model Predictive Path Integral Control for Linear Time-Invariant Systems

    Jul 4, 2026Hyung-Jin Yoon, Hunmin KimDynamical SystemsStochastic Linear Dynamical Systems

  9. Reachability Guarantees for Cart-Pole Swing-Up and Stabilization

    Jun 26, 2026Mohamed Khalid M JaffarReachability AnalysisLyapunov-Based Control

  10. Feedback-Coupled Memory Systems in Continuous Time

    Jun 24, 2026Stefano GrassiDynamical SystemsMulti-Agent Coordination

  11. Let the Dynamics Flow: Stable Flow Matching Dynamical Systems

    Jun 2, 2026Rodrigo Pérez-Dattari, Francisco Leiva, Andrea Testa +3Flow MatchingLyapunov Stability

  12. Sharp Spectral Thresholds for Logit Fixed Points

    May 15, 2026Tongxi WangDynamical SystemsLyapunov Stability

  13. A Unified Lyapunov-IQC Framework for Uniform Stability of Smooth Quadratic First-Order Accelerated Optimizers

    May 8, 2026Don Li, Dacian DaescuLyapunov StabilityAlgorithmic Stability

  14. Stability of Control Lyapunov Function Guided Reinforcement Learning

    May 3, 2026Zachary Olkin, William D. Compton, Aaron D. AmesRL ControlLyapunov Stability

  15. State-Dependent Lyapunov Analysis of Rank-1 Matrix Factorization

    Apr 28, 2026Jaehong MoonEdge of StabilityLyapunov Stability

  16. Stability Principle Underlying Passive Dynamic Walking of Rimless Wheel

    Apr 15, 2026Fumihiko AsanoRobot LocomotionLyapunov Stability

  17. Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics

    Mar 31, 2026Simone Betteti, Luca LaurentiEnergy-Based ModelsDynamical Systems

  18. Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations

    Mar 20, 2026Jun LiuHJB EquationsNeural PDE Solvers

  19. Lyapunov Stable Graph Neural Flow

    Mar 13, 2026Haoyu Chu, Xiaotong Chen, Wei Zhou +4Graph Neural NetworksAdversarial Robustness