Nonlinear System Identification

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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  1. Data-Driven Modeling and Control for Tethered Space Systems with Koopman-Informed Graphs

    Jun 29, 2026Ao Jin, Yifeng Ma, Panfeng Huang +1Dynamical SystemsKoopman Operator Learning

    Research Center for Intelligent Robotics, School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China · Department of Mechanical and Automation Engineering, The Chinese University Hong Kong, 999077, China

  2. Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs

    Jun 25, 2026Yang Pan, Helmut BölcskeiParameter IdentifiabilitySample Complexity

  3. LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search

    Jun 23, 2026Nikhil Abhyankar, Sha Li, Sanchit Kabra +3Nonlinear System IdentificationSystem Identification

    Virginia Tech

  4. Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach

    Jun 23, 2026Cristian Brugnara, Lea Multerer, Marco Forgione +1Irregular Time-Series ModelingParameter Estimation

    SUPSI, Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), Lugano, Switzerland

  5. Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction

    Jun 22, 2026Georg Trede, Charlotte Ricarda Doll, Elias Weber +1Dynamical SystemsZero-Shot Time Series Forecasting

    Dept. of Theoretical Neuroscience, Central Institute of Mental Health, Mannheim, Germany · Faculty of Physics and Astronomy, Heidelberg University, Germany · Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany

  6. Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems

    Jun 20, 2026Mohammed Ashraf, Ayman A. El-BadawyFrequency-Domain Feature LearningNonlinear System Identification

    Department of Mechatronics Engineering, German University in Cairo, Cairo, Egypt

  7. Orthogonal Discrepancy Kernels for Learning with Partial Physics

    Jun 19, 2026Swapnil Manna, Timothy J. Rogers, Lawrence BullSemiparametric InferenceNonlinear System Identification

    IISER Pune, India · University of Sheffield, UK · University of Glasgow, UK

  8. Explicit Interaction Architectures for Dynamical Learning: A Controlled Study of Structural Inductive Bias

    Jun 17, 2026Augusto SartiDynamic Neural NetworksNonlinear System Identification

    Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Piazza L. Da Vinci 32, 20133 Italy.

  9. Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study

    Jun 15, 2026R. F. Suárez, J. C. Berndt, M. Abdel-MaksoudNonlinear System IdentificationSystem Identification

    Hamburg University of Technology (TUHH), Institute for Fluid Dynamics and Ship Theory (M8), Am Schwarzenberg-Campus 4 (C), 21073, Hamburg, Germany

  10. Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements

    Jun 14, 2026Filippo Zacchei, Ana Larrañaga, Attilio Frangi +2Sparse Identification of Nonlinear DynamicsNonlinear System Identification

    MOX – Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy · Department of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States · Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy

  11. Covariance-Regulated Recursive Koopman Learning for Nonlinear Systems with Uncertain Time-Varying Dynamics

    Jun 13, 2026Weibin Gu, Chen Yang, Lu Shi +1Online System IdentificationRecursive Least Squares

    1Tsinghua University, PR China · 2China University of Petroleum-Beijing at Karamay, PR China · 3Xinchen Qihang Inc., PR China

  12. Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning

    Jun 11, 2026Paolo Muratore, Mackenzie Weygandt MathisContrastive LearningParameter Identifiability

    EPFL

  13. How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit

    Jun 10, 2026Ana Larrañaga, Urban Fasel, Steven L. BruntonSparse Identification of Nonlinear DynamicsPDE Discovery

    Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, United States · NSF AI Institute in Dynamic Systems, University of Washington, Seattle, WA 98195, United States · Department of Aeronautics, Imperial College London, SW7 2AZ, United Kingdom

  14. Integral Formulation of QENDy for Robust Nonlinear System Identification

    Jun 10, 2026Nikhil Saran, Sushant Pokhriyal, Stefan Klus +2Sparse Identification of Nonlinear DynamicsNonlinear System Identification

    Department of Mathematics and Statistics at the University of South Florida · Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, India · School of Mathematical & Computer Sciences at the Heriot–Watt University, Edinburgh +1

  15. Nonlinear Bayesian Estimator for Parameter Learning: A Fixed-Point Characterization

    Jun 8, 2026Sasan Vakili, Daniël Woonings, Pradyumna Paruchuri +1Parameter EstimationBayesian Inference

    Delft University of Technology, The Netherlands · University of Toronto, Canada

  16. Physics-Aware Sparse Learning and Selective Online Adaptation for Euler-Lagrange Robot Dynamics

    Jun 8, 2026Rishabh Dev Yadav, Samaksh Ujjawal, Sihao Sun +2Robotic ControlRobot Dynamics Identification

    Department of Computer Science, The University of Manchaster, U.K. · Department of Cognitive Robotics, Delft University of Technology, Netherlands · International Institute of Information Technology Hyderabad. +1

  17. Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems

    Jun 8, 2026Xingji CuiMultivariate Time Series ForecastingDynamical Systems

    Xi’an Jiaotong University, China

  18. Inferring hidden forcing in a biological oscillator using Kolmogorov-Arnold networks

    Jun 7, 2026Julian Szereszewski, Facundo Fainstein, Leandro E. Fernandez +1Dynamical SystemsNonlinear System Identification

    Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, Ciudad Universitaria, 1428 Buenos Aires, Argentina. · CONICET - Universidad de Buenos Aires, Instituto de Física Interdisciplinaria y Aplicada (INFINA), Ciudad Universitaria, 1428 Buenos Aires, Argentina.

  19. When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic

    Jun 7, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeFeature Interaction ModelingParameter Identifiability

    Lucy Family Institute for Data & Society · University of Notre Dame · Notre Dame, IN, USA +1

  20. Learning Control-Affine Reduced-Order Models via Autoencoders

    Jun 3, 2026Ali Mjalled, Martin MönnigmannNonlinear System IdentificationSystem Identification

    Automatic Control and Systems Theory Ruhr-Universität Bochum Universitätstraße 150, 44801, Bochum

  21. AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression

    Jun 3, 2026Naoki Chihara, Ren Fujiwara, Yasuko Matsubara +1Koopman Operator LearningNonlinear System Identification

    SANKEN, The University of Osaka Osaka, Japan

  22. PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems

    Jun 2, 2026Ismail Hassaballa, Mircea LazarNonlinear System IdentificationPhysics-Informed ML

    Eindhoven University of Technology Eindhoven, Netherlands

  23. Hybrid Dynamics Modeling for a Flexible 2-DoF Robotic Arm

    Jun 2, 2026Maciek Popik, Daniel Yang, Mahdis BishebanRobot Dynamics IdentificationNonlinear System Identification

    Dept. of Mechanical and Manufacturing Eng at the Schulich School of Engineering, University of Calgary, Alberta, Canada · Intelligent Dynamics and Control Lab, University of Calgary, Alberta, Canada

  24. Learning Chaotic Dynamics through Second-Order Geometric Supervision

    Jun 1, 2026Shinhoo Kang, Hai V. Nguyen, Tan Bui-ThanhNonlinear System IdentificationChaotic Dynamical Systems

    Department of Computer Science and Software Engineering, Korea University, Sejong 30019, KR · Department of Aerospace Engineering and Engineering Mechanics, The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, 2026 TX, USA

  25. Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error

    May 29, 2026Markus GrossKoopman Operator LearningNonlinear System Identification

    Institute for AI Safety and Security, German Aerospace Center (DLR), Sankt Augustin and Ulm, Germany

  26. Learning effective Sargassum transport dynamics from limited drifter observations

    May 28, 2026F. J. Beron-VEra, M. J. Olascoaga, J. Morell +1Sparse Identification of Nonlinear DynamicsNonlinear System Identification

    Department of Atmospheric Sciences Rosenstiel School of Marine, Atmospheric, and Earth Science University of Miami Miami, Florida, USA · Department of Ocean Sciences Rosenstiel School of Marine, Atmospheric, and Earth Science University of Miami Miami, Florida, USA · Department of Marine Sciences University of Puerto Rico Mayagüez, Puerto Rico

  27. Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy

    May 28, 2026Moyi Tian, Daniel A. Messenger, Vanja Dukic +2Sparse Identification of Nonlinear DynamicsNonlinear System Identification

    Department of Applied Mathematics, University of Colorado, Boulder, CO 80309 United States · Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545 United States

  28. Identifying Explicit Parsimonious Piece-wise Polynomial Relationships in Industrial time-series: Application to manipulator robots

    May 27, 2026Mazen Alamir, Sacha ClavelNonlinear System IdentificationInverse Dynamics

    Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France · Staubli company. Auvergne-Rhône-Alpes, 74210, Faverges, France.

  29. Model discovery for dynamical systems with complex-valued product units

    May 26, 2026Martin Brückmann, Babette Dellen, Uwe JaekelNonlinear System IdentificationComplex-Valued Neural Networks

    Department of Mathematics, Informatics, and Technology, RheinAhrCampus Remagen University of Applied Sciences Koblenz Joseph-Rovan-Allee 2, 53424 Remagen, Germany

  30. PIDM-DP: Physics-Informed Diffusion with Dormand-Prince Integration for Chaotic System Identification and State Reconstruction across Multiple Dynamical Regimes

    May 26, 2026Shailendra DabralPhysics-Informed Diffusion ModelsNonlinear System Identification

    Indian Institute of Technology Indore