Cross-Gramian-Based Model Reduction for Descriptor Systems

In this paper, we explore model order reduction for large-scale square descriptor systems. A balancing-free square-root method is proposed. The balancing-free square-root method is based on two cross Gramians, one of which is known as the proper cross Gramian and the other as the improper cross Gram...

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Main Author: Yiqin Lin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/11/2400
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author Yiqin Lin
author_facet Yiqin Lin
author_sort Yiqin Lin
collection DOAJ
description In this paper, we explore model order reduction for large-scale square descriptor systems. A balancing-free square-root method is proposed. The balancing-free square-root method is based on two cross Gramians, one of which is known as the proper cross Gramian and the other as the improper cross Gramian. The proper cross Gramian is the unique solution of a projected generalized continuous-time Sylvester equation, and the improper cross Gramian solves a projected generalized discrete-time Sylvester equation. In order to compute the low-rank factors of these two cross Gramians, we extend the low-rank iteration of the alternating direction implicit method and the Smith method to the projected generalized Sylvester equations. We illustrate the effectiveness of the balance truncation method with one numerical example.
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spelling doaj.art-9183db824e6449c8ad9bf0d271db3e492023-11-24T10:13:25ZengMDPI AGSymmetry2073-89942022-11-011411240010.3390/sym14112400Cross-Gramian-Based Model Reduction for Descriptor SystemsYiqin Lin0School of Science, Hunan University of Science and Engineering, Yongzhou 425199, ChinaIn this paper, we explore model order reduction for large-scale square descriptor systems. A balancing-free square-root method is proposed. The balancing-free square-root method is based on two cross Gramians, one of which is known as the proper cross Gramian and the other as the improper cross Gramian. The proper cross Gramian is the unique solution of a projected generalized continuous-time Sylvester equation, and the improper cross Gramian solves a projected generalized discrete-time Sylvester equation. In order to compute the low-rank factors of these two cross Gramians, we extend the low-rank iteration of the alternating direction implicit method and the Smith method to the projected generalized Sylvester equations. We illustrate the effectiveness of the balance truncation method with one numerical example.https://www.mdpi.com/2073-8994/14/11/2400model reductioncross Gramianbalanced truncationprojected generalized Sylvester equationdescriptor system
spellingShingle Yiqin Lin
Cross-Gramian-Based Model Reduction for Descriptor Systems
Symmetry
model reduction
cross Gramian
balanced truncation
projected generalized Sylvester equation
descriptor system
title Cross-Gramian-Based Model Reduction for Descriptor Systems
title_full Cross-Gramian-Based Model Reduction for Descriptor Systems
title_fullStr Cross-Gramian-Based Model Reduction for Descriptor Systems
title_full_unstemmed Cross-Gramian-Based Model Reduction for Descriptor Systems
title_short Cross-Gramian-Based Model Reduction for Descriptor Systems
title_sort cross gramian based model reduction for descriptor systems
topic model reduction
cross Gramian
balanced truncation
projected generalized Sylvester equation
descriptor system
url https://www.mdpi.com/2073-8994/14/11/2400
work_keys_str_mv AT yiqinlin crossgramianbasedmodelreductionfordescriptorsystems