Online System Identification

Overview

Online system identification studies how to infer and update a system’s dynamics while it is operating, so models and controllers can keep working as conditions change. Approaches include recursive and Bayesian estimation, neural state-space and Koopman models, Gaussian processes, and exploration strategies that choose informative actions while performing a task. These methods are used in settings such as robot and vehicle control, where model predictive control can use updated estimates to improve tracking and handle disturbances. A central tension is adapting quickly from limited data without destabilizing the system, overfitting noisy observations, or requiring unsafe excitation; reliable guarantees and computational efficiency remain important challenges.

Latest papers

CardsList

23 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. MOSAIC-SV: Real-Time Adaptive Identification of Vessel Dynamics for the Control and Deployment of Aquatic Robots

    Oct 2, 2026Wensen Liu, Jerry Peng, Shravani Vedagiri +1Robot Dynamics IdentificationOnline System Identification

  2. LLA-MPC on Embedded Hardware: Rapid Adaptive Control with Thousands of Parallel Models

    Oct 2, 2026Henry Z. Liao, Maitham F. AL-Sunni, John M. DolanAdaptive MPCModel Predictive Control

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

    Sep 26, 2026Omkar Sudhir PatilNeural ODEsNeural Network Training Dynamics

  4. COIN-GP: Cooperative Online Learning in Networked Distributed Systems with Partial Measurements via Gaussian Process Regression

    Sep 17, 2026Zewen Yang, Xiaobing Dai, Zhenxiao Yin +3Online System IdentificationRobot State Estimation

  5. Data-Driven Learning of Unknown Nonlinear Differential Equations Using Functional Analysis

    Sep 3, 2026Seyyed Shaho Alaviani, Yongzhi Qu, Gregory W. VoglODE DiscoveryNonlinear System Identification

  6. VertiAKD: Adaptive Off-Road Kinodynamics on Vertically Challenging Terrain

    Aug 2, 2026Tong Xu, Chenhui Pan, Francesco Cancelliere +1Robot Trajectory TrackingOnline System Identification

  7. Online learning of neural state-space models

    Jul 20, 2026Bendegúz Györök, Tamás Péni, Maarten Schoukens +1Online System IdentificationNonlinear System Identification

  8. A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems

    Jul 2, 2026Yuval Ran-Milo, Angelos Assos, Elad HazanDynamical SystemsOnline System Identification

  9. 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

  10. An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircraft

    Jun 11, 2026Umut Demir, Aamir Ahmad, Torbjørn Cunis +1Online System IdentificationFeedback Control

  11. PLUME: Probabilistic Latent Unified World Modeling and Parameter Estimation for Multi-Finger Manipulation

    Jun 9, 2026Abhinav Kumar, Soshi Iba, Rana Soltani Zarrin +1Online System IdentificationDexterous Manipulation

  12. 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

  13. Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series

    May 25, 2026Ren Fujiwara, Yasuko Matsubara, Yasushi SakuraiDynamical SystemsOnline System Identification

  14. T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics

    May 24, 2026Zeyu Shen, Zhuoyuan Wang, Laixi ShiAdaptive MPCOnline System Identification

  15. Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models

    May 16, 2026SeungWon Seo, DongHeun Han, SeongRae Noh +1Online System IdentificationWorld Model Learning

  16. Learning Cross-Coupled and Regime Dependent Dynamics for Aerial Manipulation

    May 14, 2026Rishabh Dev Yadav, Samaksh Ujjawal, Shivansh Pratap Singh +4Aerial RoboticsOnline System Identification

  17. Adapting Neural Robot Dynamics on the Fly for Predictive Control

    Apr 5, 2026Abdullah Altawaitan, Nikolay AtanasovRobot Dynamics LearningRobot Dynamics Identification

  18. Online Learning of Kalman Filtering: From Output to State Estimation

    Mar 28, 2026Lintao Ye, Ankang Zhang, Ming Chi +2Kalman FilteringOnline System Identification

  19. Online Learning for Supervisory Switching Control

    Mar 16, 2026Haoyuan Sun, Ali JadbabaieOnline System Identification

  20. VertiAdaptor: Online Kinodynamics Adaptation for Vertically Challenging Terrain

    Mar 6, 2026Tong Xu, Chenhui Pan, Aniket Datar +1Dynamical SystemsOnline System Identification

  21. Online Single-Channel Audio-Based Sound Speed Estimation for Robust Multi-Channel Audio Control

    Feb 18, 2026Andreas Jonas Fuglsig, Mads Græsbøll Christensen, Jesper Rindom JensenSpatial AudioOnline System Identification

  22. Learning On The Job: Zero-Shot Task Execution under Parametric Uncertainty via Trajectory-Parametrized Dual Control

    Oct 23, 2025Victor Vantilborgh, Hrishikesh Sathyanarayan, Guillaume Crevecoeur +2Robotic ControlOnline System Identification