Backward-Euler Matrix Lyapunov Equation Solver - Theory and User Manual

A research MATLAB package for time-domain covariance analysis of linear time-invariant and time-varying structural systems subjected to non-stationary stochastic excitation, including systems written in augmented state space with input-generating filters. Response second-moment statistics are obtained by integrating the non-stationary differential Lyapunov equation directly in matrix form, using a variable-step backward-Euler method in which every implicit update is recast as an algebraic Lyapunov equation and solved by a reusable complex-Schur Bartels-Stewart factorization. The solver is implemented in base MATLAB and does not require the Control System Toolbox. Temporal accuracy is controlled by step doubling: one full step is compared with two consecutive half steps, yielding a Richardson local-error estimate that drives a proportional or proportional-integral step-size controller. The accepted covariance is symmetric and, under standard conditions, provably positive semidefinite. The package returns covariance, variance, interstorey-drift, velocity, and acceleration statistics, and is validated against an analytical scalar solution, the stationary algebraic Lyapunov limit, symmetry/positive-semidefiniteness checks, and tolerance-monotonicity tests, with single-degree-of-freedom and six-storey shear-building examples. A full theory and user manual is included with the release.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-19
DOI
https://doi.org/10.5281/zenodo.22842945
Primary Topic
Model Reduction and Neural Networks
Type
article
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Backward-Euler Matrix Lyapunov Equation Solver - Theory and User Manual

Giuseppe Carlo Marano, Laura Sardone, Gaurav Datta
Zenodo (CERN European Organization for Nuclear Research)
Model Reduction and Neural Networks
article

Backward-Euler Matrix Lyapunov Equation Solver - Theory and User Manual

Giuseppe Carlo Marano, Laura Sardone, Gaurav Datta
article en

Abstract

A research MATLAB package for time-domain covariance analysis of linear time-invariant and time-varying structural systems subjected to non-stationary stochastic excitation, including systems written in augmented state space with input-generating filters. Response second-moment statistics are obtained by integrating the non-stationary differential Lyapunov equation directly in matrix form, using a variable-step backward-Euler method in which every implicit update is recast as an algebraic Lyapunov equation and solved by a reusable complex-Schur Bartels-Stewart factorization. The solver is implemented in base MATLAB and does not require the Control System Toolbox. Temporal accuracy is controlled by step doubling: one full step is compared with two consecutive half steps, yielding a Richardson local-error estimate that drives a proportional or proportional-integral step-size controller. The accepted covariance is symmetric and, under standard conditions, provably positive semidefinite. The package returns covariance, variance, interstorey-drift, velocity, and acceleration statistics, and is validated against an analytical scalar solution, the stationary algebraic Lyapunov limit, symmetry/positive-semidefiniteness checks, and tolerance-monotonicity tests, with single-degree-of-freedom and six-storey shear-building examples. A full theory and user manual is included with the release.

Zenodo (CERN European Organization for Nuclear Research)
Politecnico di Torino (IT)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Model Reduction and Neural Networks
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Backward-Euler Matrix Lyapunov Equation Solver - Theory and User Manual — Giuseppe Carlo Marano, Laura Sardone, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS