On the data-sparsity of the solution of Riccati equations with applications to feedback control

Abstract Solving large-scale continuous-time algebraic Riccati equations is a significant challenge in various control theory applications. This work demonstrates that when the matrix coefficients of the equation are quasiseparable, the solution also exhibits numerical quasiseparability. This property enables us to develop two efficient Riccati solvers. The first solver is applicable to the general quasiseparable case, while the second is tailored to the particular case of banded coefficients. Numerical experiments confirm the effectiveness of the proposed algorithms on both synthetic examples and case studies from the control of partial differential equations and agent-based models.

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Publication Details

Journal
Numerische Mathematik
Published
2026-09-17
DOI
https://doi.org/10.1007/s00211-026-01572-0
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

On the data-sparsity of the solution of Riccati equations with applications to feedback control

Stefano Massei, Luca Saluzzi
Numerische Mathematik
Fractional Differential Equations Solutions
article

On the data-sparsity of the solution of Riccati equations with applications to feedback control

Stefano Massei, Luca Saluzzi
article en

Abstract

Abstract Solving large-scale continuous-time algebraic Riccati equations is a significant challenge in various control theory applications. This work demonstrates that when the matrix coefficients of the equation are quasiseparable, the solution also exhibits numerical quasiseparability. This property enables us to develop two efficient Riccati solvers. The first solver is applicable to the general quasiseparable case, while the second is tailored to the particular case of banded coefficients. Numerical experiments confirm the effectiveness of the proposed algorithms on both synthetic examples and case studies from the control of partial differential equations and agent-based models.

Numerische Mathematik
University of Pisa (IT), University of Ferrara (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 99%
Fractional Differential Equations Solutions
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On the data-sparsity of the solution of Riccati equations with applications to feedback control — Stefano Massei, Luca Saluzzi · Numerische Mathematik (2026) | TGRS Research Map | TGRS