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News/Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data
arxiv
PublishedJune 2, 2026 at 4:00 AM

Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data

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arXiv:2606.00298v1 Announce Type: cross Abstract: Data-driven reduced-order modeling is an essential component in the computer-aided design of control systems. In this work, we present a novel symmetric Hermite formulation of the quadrature-based balanced truncation algorithm that constructs linear

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