Data-driven balanced truncation for linear systems with quadratic outputs

Fuente: arXiv
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Auteurs principaux: Padhi, Reetish, Gosea, Ion Victor, Duff, Igor Pontes, Gugercin, Serkan
Format: Preprint
Publié: 2025
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author Padhi, Reetish
Gosea, Ion Victor
Duff, Igor Pontes
Gugercin, Serkan
author_facet Padhi, Reetish
Gosea, Ion Victor
Duff, Igor Pontes
Gugercin, Serkan
contents We develop the framework for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the applicability of QuadBT, which was originally designed for data-driven balanced truncation of standard linear systems with linear outputs only. The new approach makes use of the time-domain and frequency-domain quadrature-based representation of the system's infinite Gramians, only implicitly. We show that by sampling solely the extended impulse responses of the original system and their derivatives (or the corresponding transfer functions), we construct a reduced-order model that mimics the approximation quality of the intrusive (projection-based) balanced truncation. We validate the proposed framework on a numerical example.
format Preprint
id arxiv_https___arxiv_org_abs_2509_12393
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Data-driven balanced truncation for linear systems with quadratic outputs
Padhi, Reetish
Gosea, Ion Victor
Duff, Igor Pontes
Gugercin, Serkan
Numerical Analysis
Dynamical Systems
We develop the framework for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the applicability of QuadBT, which was originally designed for data-driven balanced truncation of standard linear systems with linear outputs only. The new approach makes use of the time-domain and frequency-domain quadrature-based representation of the system's infinite Gramians, only implicitly. We show that by sampling solely the extended impulse responses of the original system and their derivatives (or the corresponding transfer functions), we construct a reduced-order model that mimics the approximation quality of the intrusive (projection-based) balanced truncation. We validate the proposed framework on a numerical example.
title Data-driven balanced truncation for linear systems with quadratic outputs
topic Numerical Analysis
Dynamical Systems
url https://arxiv.org/abs/2509.12393