Data-driven balanced truncation for second-order systems via the approximate Gramians

2025/06/04 by Xiaolong Wang, Wang, Xiaolong, Xuerong Yang +5 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #FOS: Mathematics #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Tensor decomposition and applications

paper · pdf · doi:10.48550/arxiv.2506.03855

openalex publication_date 2025/06/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper studies the data-driven balanced truncation (BT) method for second-order systems based on the measurements in the frequency domain. The basic idea is to approximate Gramians used the numerical quadrature rules, and establish the relationship between the main quantities in the procedure of BT with the sample data, which paves the way for the execution of BT in a nonintrusive manner. We construct the structure-preserving reduced models approximately based on the samples of second-order systems with proportional damping, and provide the detailed execution of the data-driven counterpart of BT in real-value arithmetic. The low-rank approximation to the solution of Sylvester equations is also introduced to speed up the process of the proposed approach when a large amount of samples involved in the modeling. The performance of our approach is illustrated in detail via two numerical examples.

Citations

• Stochastic Galerkin method and port-Hamiltonian form for linear dynamical systems of second order
• Rank-Minimizing and Structured Model Inference
• Data-driven balancing of linear dynamical systems
• SOBMOR: Structured Optimization-Based Model Order Reduction
• The p-AAA algorithm for data driven modeling of parametric dynamical systems
• Computational Methods for Linear Matrix Equations
• A framework for the solution of the generalized realization problem
• Interpolatory H₂-optimality Conditions for Structured Linear Time-invariant Systems

Cited by

• Data-driven balanced truncation for second-order systems with generalized proportional damping

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