Stability-Preserving Model Reduction of Networked Lur'e Systems

Fuente: arXiv
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Autori principali: Dou, Yangming, Cheng, Xiaodong, Scherpen, Jacquelien M. A.
Natura: Preprint
Pubblicazione: 2024
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author Dou, Yangming
Cheng, Xiaodong
Scherpen, Jacquelien M. A.
author_facet Dou, Yangming
Cheng, Xiaodong
Scherpen, Jacquelien M. A.
contents This paper proposes a model reduction approach for simplifying the interconnection topology of Lur'e network systems. A class of reduced-order models are generated by the projection framework based on graph clustering, which not only preserve the network structure but also ensure absolute stability. Furthermore, we provide an upper bound on the input-output approximation error between the original and reduced-order Lur'e network systems, which is expressed as a function of the characteristic matrix of graph clustering. Finally, the results are illustrated via a numerical example.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02202
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stability-Preserving Model Reduction of Networked Lur'e Systems
Dou, Yangming
Cheng, Xiaodong
Scherpen, Jacquelien M. A.
Systems and Control
This paper proposes a model reduction approach for simplifying the interconnection topology of Lur'e network systems. A class of reduced-order models are generated by the projection framework based on graph clustering, which not only preserve the network structure but also ensure absolute stability. Furthermore, we provide an upper bound on the input-output approximation error between the original and reduced-order Lur'e network systems, which is expressed as a function of the characteristic matrix of graph clustering. Finally, the results are illustrated via a numerical example.
title Stability-Preserving Model Reduction of Networked Lur'e Systems
topic Systems and Control
url https://arxiv.org/abs/2407.02202