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Main Authors: Massei, Stefano, Saluzzi, Luca
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2408.16569
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author Massei, Stefano
Saluzzi, Luca
author_facet Massei, Stefano
Saluzzi, Luca
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2408_16569
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the data-sparsity of the solution of Riccati equations with applications to feedback control
Massei, Stefano
Saluzzi, Luca
Numerical Analysis
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.
title On the data-sparsity of the solution of Riccati equations with applications to feedback control
topic Numerical Analysis
url https://arxiv.org/abs/2408.16569