Online learning of neural state-space models

arXiv:2607.17614 · eess.SY, cs.LG, cs.SY · Submitted 2026-07-20 · Read on arXiv

eess.SY, cs.LG, cs.SY

Submitted: 2026-07-20

Updated: 2026-10-13

Code: https://github.com/AIMotionLab-SZTAKI/online-sysid

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Online Adaptation — 1× in this paper · explained in 3 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• Learning-based augmentation of first-principle models: A linear fractional representation-based approach
• Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
• Data-driven augmentation of first-principles models under constraint-free well-posedness and stability guarantees

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