Dynamical Systems

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Period ending 2026-09-21

9 new papers

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Period ending 2026-09-14

2 new papers

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Period ending 2026-09-07

3 new papers

A weekly snapshot of new work published in Dynamical Systems.

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198 papers

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  1. PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems

    Sep 21, 2026Chenfeng Huang, George MichailidisSystem IdentificationBayesian

  2. Fast-varying Natural Frequencies and Damping Ratio Identification for Linear Time-Varying System

    Sep 17, 2026Melisa Bozaci, Alice CicirelloSystem IdentificationDiscrete-Time Linear Systems

  3. Learning Lyapunov Operators for Nonlinear Systems

    Sep 16, 2026Amartya Mukherjee, Maxwell Fitzsimmons, David C. Del Rey Fernández +1Fourier Neural OperatorsLyapunov Function

  4. Learning Fractional-Order Dynamics from a Single Trajectory

    Sep 16, 2026Xiaole Zhang, Ziyi Zhang, Zehao Zhao +4System IdentificationTrajectory Prediction

  5. Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds

    Sep 15, 2026Jan Tauberschmidt, Brian B. Moser, Stanislav Frolov +3Generative ModelsScore-Based Diffusion Model

  6. Adaptive-MHE : A Sampling-Based Adaptive MPC for Legged Loco-Manipulation via Moving Horizon Estimation

    Sep 15, 2026Hossein Keshavarz, Alejandro Ramirez-Serrano, Majid KhadivHumanoid Loco-ManipulationLegged Robots

  7. Principled Koopman Representations with Kalman Inference for Efficient Time-Series Prediction

    Sep 15, 2026Ruiquan Li, Yuheng BuKoopman OperatorState Space Models

  8. Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification

    Sep 15, 2026Luis Rodrigues, Zachary Yetman Van Egmond, Mohammad R. Amiri FardLeast SquaresSystem Identification

  9. Optimal Excitation Trajectories for System Identification of Underwater Vehicles

    Sep 15, 2026Fotis Panetsos, Kostas J. KyriakopoulosUnderwater RobotsSystem Identification

  10. Physics Informed Neural Network model for the dynamical study of Abdominal Aortic Aneurysm

    Sep 14, 2026Adrián Robles Arques, Martín Ruiz Fernandez, Javier Sanchis +2Conventional Physics-Informed Neural NetworksComputational Fluid Dynamic

  11. Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

    Sep 11, 2026Mo Zhou, Weihang Xu, Simon S. Du +1Two-Layer Neural NetworksQualitative Dynamics

  12. Learning Interaction Kernels from Collective Steady States

    Sep 10, 2026Baoli Hao, Mauro Maggioni, Ming ZhongSystem IdentificationToward Interaction Dynamics

  13. Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics

    Sep 8, 2026Will Houser, Vanja Dukic, David M. BortzSystem IdentificationNonlinear Dynamics

  14. Time Without Timesteps: Simulating Coupled Dynamical Systems via Self-Consistency

    Sep 3, 2026Liyu Zerihun, Mark Shinyoung LeeDynamical SystemsParallel Liquid-Inspired Temporal Relaxation

  15. Exploring Nonlinear Body Oscillations for Natural Quadruped Gaits

    Sep 1, 2026Annika Schmidt, Davide Calzolari, Arne Sachtler +13Nonlinear DynamicsOscillatory Dynamics

  16. A Hybrid PEM-GP Framework for Uncertainty-Aware System Identification of Quadcopters

    Aug 31, 2026Abdallah Ghoul, Ismail Khalil Bousserhane, Kadri BoufeldjaQuadrotor ControlSystem Identification

  17. System Identification of Admittance Models for Large Real-World Objects

    Aug 30, 2026Nathan I. Baum, Nathaniel G. Luttmer, Mark A. MinorRigid-Body DynamicsKinematic Chain

  18. Data-driven Koopman mode approximation: A neural power iteration algorithm

    Aug 27, 2026Guillaume O. Berger, Raphaël M. JungersKoopman OperatorNonlinear Dynamics

  19. Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration

    Aug 13, 2026Sabin Roman, Ljupco Todorovski, Saso DzeroskiSystem IdentificationSymbolic Regression

  20. Koopman Representation of Nonlinear Virtual Environments in Kinesthetic Haptic Systems

    Aug 11, 2026Yanting Zhou, Jozsef Kövecses, James Richard ForbesKoopman OperatorHaptic Feedback

  21. Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates

    Aug 11, 2026Qiyao Zhou, Xujia Zhu, Pierre Joli +2Surrogate ModelsReduced-Order Models

  22. Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems

    Aug 11, 2026Haiteng Wang, Yunfei Zhu, Tao Wang +4Synthetic Time SeriesGas Turbine Combustor

  23. Long-Time Trajectory Approximation via SA-NODEs: Model Predictive and Floquet Strategies

    Aug 11, 2026Ziqian Li, Nikolaos M. MatzakosNeural Ordinary Differential EquationsNeural-Network Approximation

  24. Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias

    Aug 11, 2026Sarvesh Shashidhar, Lankireddy Prabhat, Arpit Agarwal +3PopularityRecommender Systems

  25. Closing the loop in learning with missing data

    Aug 10, 2026Dimitrios Pylorof, Humberto E. GarciaMissing DataPartial Observability

  26. Do AI Forecast Ensembles Sample the Correct Conditional Distribution?

    Aug 9, 2026Lucas J. Howard, Elizabeth A. BarnesConditional DistributionQualitative Dynamics

  27. End-to-End Neural Decomposition with Koopman Operators for Time-Series Forecasting

    Aug 9, 2026De-Yan Lu, Xugang Lu, Yu Tsao +1Koopman OperatorFourier Neural Operators

  28. Adaptive Symmetry Discovery for Dynamical System Identification

    Aug 8, 2026Behrooz Tahmasebi, Melanie WeberSystem IdentificationSymmetry

  29. Indirect Geoeconomic Influence: A Switching Dynamical Systems Framework for Mechanism Design

    Aug 8, 2026Nikolos Gurney, Boxi Fu, Soham Hans +1EconomiesInfluence

  30. Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification

    Aug 7, 2026Albert Saiapin, Kim BatselierTensor NetworksNeural Tangent Kernel

  31. Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems

    Aug 7, 2026Zhongchao Zhou, Yixuan Xie, Wenwei Yu +5Feedback LinearizationDynamical Systems

  32. Spectral Distillation: From Nonlinear Dynamics to Linear State-Space Models

    Aug 5, 2026Liane Galanti, Devan Shah, Shlomo Fortgang +1System IdentificationNonlinear Dynamics

  33. Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks

    Aug 5, 2026Sudip Laudari, Puspa Raj AdhikariReservoir ComputingQualitative Dynamics

  34. Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting

    Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoNonlinear DynamicsLong-Horizon Forecasting

  35. A Graph Signal Processing Perspective on Numerical Sequence Representations in LLM In-Context Learning

    Aug 4, 2026Jiajun Bao, Zihao Qi, Toni J. B. Liu +4In-Context LearningSequence Modeling

  36. Foundations of Reinforcement Learning and Control:Connections and New Perspectives

    Aug 3, 2026Claire Vernade, Onno Eberhard, Martha White +4Soft Actor-CriticDynamical Systems

  37. Physics-Informed Neural Networks for Complex Eigenfrequency Identification and Mode Structure Reconstruction of the Ground-State ITG Branch

    Aug 3, 2026Dengdi Sun, Bingbing Zhang, Xiao Wang +5Conventional Physics-Informed Neural NetworksPlasma Shape Control

  38. A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning

    Aug 3, 2026Tianle Liu, Youcheng Niu, Jing Zeng +2Zero--Sum Differential GameMulti-Agent Reinforcement Learning

  39. Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs

    Aug 2, 2026Neil F. Johnson, Frank Yingjie Huo, Bella Xinrui LiNonlinear DynamicsDynamical Systems

  40. HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems

    Aug 1, 2026Ajitesh SrivastavaNeural Ordinary Differential EquationsSurrogate Models

  41. Verifier-Guided Model Discovery for Physical Dynamical Systems with Pretrained Symbolic Transformers

    Aug 1, 2026Farbod Faraji, Francesco BelardinelliSymbolic RegressionPhysics-Guided Deep Learning Framework

  42. Dynamics-aware identification of governing equations from sparse and noisy data

    Jul 31, 2026Pongpisit Thanasutives, Yoshinobu KawaharaSystem IdentificationPartial Differential Equations

  43. From Classification to Regression: Using a Fruitfly to Solve Equations

    Jul 29, 2026Shady E. Ahmed, Panos StinisNonlinear DynamicsSymbolic Regression

  44. MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts

    Jul 28, 2026Mahmoud Selim, Sriharsha Bhat, Karl H. JohanssonModel Predictive ControlKoopman Operator

  45. Quotient Dynamics, Effective Curvature, and Implicit Bias in Positive Quadratic Networks

    Jul 28, 2026Pengcheng ChengCurvatureWasserstein Gradient Flows

  46. Score-Based Stabilization for Time-Dependent Problems

    Jul 27, 2026Eshed Gal, Eldad Haber, Uri AscherQualitative DynamicsBasin

  47. Learning switched non-linear dynamical systems from a single trajectory

    Jul 26, 2026Sunny G. W. Wang, Hemant TyagiNonlinear DynamicsFinite Time Analysis

  48. Sling2Sim2Real: One-Shot Elastic System Identification for Non-Destructive Slingshot Policy Learning

    Jul 25, 2026Wonjae Kang, Geonwoo Kim, Minseok Song +1Zero-Shot Sim-To-Real TransferSimulation-Based Reinforcement Learning

  49. Guarantees on Dynamical System Distinguishability for LLM Token Generation

    Jul 25, 2026Mohamed Akrout, Dan WilsonDynamical Systems

  50. QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery

    Jul 24, 2026Harsh Milind Tirhekar, Chandrajit BajajPhase SpaceComplex Query Answering

  51. Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos

    Jul 23, 2026Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski +2ChaosProbability Measures

  52. PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs

    Jul 22, 2026Amirhossein Sadr, Nima Soltani, Vahideh Moghtadaiee +3Conventional Physics-Informed Neural NetworksBayesian Quadrature

  53. HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems

    Jul 21, 2026Nicolò Botteghi, Gabriele Pascali, Urban Fasel +1Dynamical SystemsEnsemble

  54. Towards chemistries in dynamical systems

    Jul 21, 2026Martin Biehl, Nathaniel VirgoDynamical SystemsReaction

  55. Variational meta-learning inference for low dimensional neural system identification

    Jul 21, 2026Matteo Rufolo, Dario Piga, Marco ForgioneSystem IdentificationVariational Inference

  56. Online learning of neural state-space models

    Jul 20, 2026Bendegúz Györök, Tamás Péni, Maarten Schoukens +1State Space ModelsSystem Identification

  57. Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

    Jul 17, 2026Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni +1Iterative Reinforcement LearningOptimal Control

  58. A zero-one law for one-shot system identification

    Jul 17, 2026Nicolas Boullé, Diana Halikias, Samuel E. Otto +1System IdentificationCoefficients

  59. From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks

    Jul 17, 2026Zhiheng Zhou, Mengyao Zhou, Yancheng Chen +3HypergraphsNeural Network

  60. An Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications

    Jul 16, 2026Yao Cheng Li, Ana Larrañaga, Steven L. Brunton +1System IdentificationNonlinear Dynamics