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

Authors :
Choudhary, Neelam
Gillis, Nicolas
Sharma, Punit
Source :
Linear & Multilinear Algebra. Nov2024, Vol. 72 Issue 17, p2984-2999. 16p.
Publication Year :
2024

Abstract

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 $ \Omega \subseteq {\mathbb C} $ Ω ⊆ C and a matrix $ A \in {\mathbb R}^{n \times n} $ A ∈ R 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03081087
Volume :
72
Issue :
17
Database :
Academic Search Index
Journal :
Linear & Multilinear Algebra
Publication Type :
Academic Journal
Accession number :
180848358
Full Text :
https://doi.org/10.1080/03081087.2024.2304144