Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach

Fuente: arXiv
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Autores principales: Choudhary, Neelam, Gillis, Nicolas, Sharma, Punit
Formato: Preprint
Publicado: 2022
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author Choudhary, Neelam
Gillis, Nicolas
Sharma, Punit
author_facet Choudhary, Neelam
Gillis, Nicolas
Sharma, Punit
contents In this paper, we provide a dissipative Hamiltonian (DH) characterization for the set of matrices whose eigenvalues belong to a given LMI region. This characterization is a generalization of that of Choudhary et al. (Numer. Linear Algebra Appl., 2020) to any LMI region. It can be used in various contexts, which we illustrate on the nearest $Ω$-stable matrix problem: given an LMI region $Ω\subseteq \mathbb{C}$ and a matrix $A \in \mathbb{C}^{n,n}$, find the nearest matrix to $A$ whose eigenvalues belong to $Ω$. Finally, we generalize our characterization to more general regions that can be expressed using LMIs involving complex matrices.
format Preprint
id arxiv_https___arxiv_org_abs_2210_07326
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach
Choudhary, Neelam
Gillis, Nicolas
Sharma, Punit
Optimization and Control
Numerical Analysis
In this paper, we provide a dissipative Hamiltonian (DH) characterization for the set of matrices whose eigenvalues belong to a given LMI region. This characterization is a generalization of that of Choudhary et al. (Numer. Linear Algebra Appl., 2020) to any LMI region. It can be used in various contexts, which we illustrate on the nearest $Ω$-stable matrix problem: given an LMI region $Ω\subseteq \mathbb{C}$ and a matrix $A \in \mathbb{C}^{n,n}$, find the nearest matrix to $A$ whose eigenvalues belong to $Ω$. Finally, we generalize our characterization to more general regions that can be expressed using LMIs involving complex matrices.
title Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach
topic Optimization and Control
Numerical Analysis
url https://arxiv.org/abs/2210.07326