arxiv
PublishedSeptember 18, 2026 at 4:00 AM
Fast-varying Natural Frequencies and Damping Ratio Identification for Linear Time-Varying System
Publisher summary· verbatim
arXiv:2609.20138v1 Announce Type: new Abstract: This work proposes a physics-enhanced machine learning approach for the system identification of Linear Time-Varying (LTV) systems under time-varying operating conditions in terms of fast-varying natural frequencies and damping ratios by combining a lo
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSEA-LION-v4.8: A Technical Report13harxivMeasurement Under Selection: Decoy-Calibrated Failure Audits for Language Models13harxivLearning Submanifolds for Subsequent Inference on Random Dot Product Graphs, Part 1: Theory13harxivSafety Beyond the Interface: Detecting Harm via Latent States in Large Language Models13hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗