Sparse Representations of Dynamical Networks: A Coprime Factorization Approach

Fuente: arXiv
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Main Authors: Sabău, Şerban, Sperilă, Andrei, Oară, Cristian, Jadbabaie, Ali
Format: Preprint
Published: 2022
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_version_ 1866915645725081600
author Sabău, Şerban
Sperilă, Andrei
Oară, Cristian
Jadbabaie, Ali
author_facet Sabău, Şerban
Sperilă, Andrei
Oară, Cristian
Jadbabaie, Ali
contents We study a class of dynamical networks modeled by linear and time-invariant systems which are described by state-space realizations. For these networks, we investigate the relations between various types of factorizations which preserve the structure of their component subsystems' interconnection. In doing so, we provide tractable means of shifting between different types of sparsity-preserving representations and we show how to employ these factorizations to obtain distributed implementations for stabilizing and possibly stable controllers. By formulating all these results for both discrete- and continuous-time systems, we develop specialized distributed implementations that, up to this point, were only available for networks modeled as discrete-time systems.
format Preprint
id arxiv_https___arxiv_org_abs_2206_09945
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Sparse Representations of Dynamical Networks: A Coprime Factorization Approach
Sabău, Şerban
Sperilă, Andrei
Oară, Cristian
Jadbabaie, Ali
Systems and Control
93A14, 93B99, 93C05
We study a class of dynamical networks modeled by linear and time-invariant systems which are described by state-space realizations. For these networks, we investigate the relations between various types of factorizations which preserve the structure of their component subsystems' interconnection. In doing so, we provide tractable means of shifting between different types of sparsity-preserving representations and we show how to employ these factorizations to obtain distributed implementations for stabilizing and possibly stable controllers. By formulating all these results for both discrete- and continuous-time systems, we develop specialized distributed implementations that, up to this point, were only available for networks modeled as discrete-time systems.
title Sparse Representations of Dynamical Networks: A Coprime Factorization Approach
topic Systems and Control
93A14, 93B99, 93C05
url https://arxiv.org/abs/2206.09945